field_job_occupational_field_parents_all

field_job_employment_type

job_organization_name

city

state

<h3>Job Description</h3>
Job Description
List of accepted countries and locations
Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages:
<ul>
<li>
Compare &amp; rank multiple code snippets, explaining which is best and why.
</li>
<li>
Repair &amp; refactor AI-generated code for correctness, efficiency, and style.
</li>
<li>
Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do.
</li>
</ul>
RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship.
What You’ll Need
<ul>
<li>
4+ years of professional software engineering experience in Python (Constraint programming experience is a bonus, but not required)
</li>
<li>
Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly.
</li>
<li>
Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated.
</li>
<li>
You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment.
</li>
</ul>
What You Don’t Need
<ul>
<li>
No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience.
</li>
<li>
No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest.
</li>
</ul>
Tech Stack
We are looking for engineers with a strong command of Python.
Logistics
<ul>
<li>
Location: Fully remote — work from anywhere
</li>
<li>
Compensation: From $30/hr to $70/hr, depending on location and seniority 
</li>
<li>
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
</li>
<li>
Engagement: 1099 contract
</li>
</ul>
Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Software Engineer, AI (Python)

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers.
<ul>
<li>
Company Type: Publicly traded 
</li>
<li>
Product: AI-centric GPU cloud platform &amp; infrastructure for training AI models
</li>
<li>
Candidate Location: Remote anywhere in the US
</li>
</ul>
Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration.
The Opportunity
We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers.
What You'll Do
<ul>
<li>
Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements
</li>
<li>
Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices
</li>
<li>
Collaborate with clients to understand their business requirements and develop solution architectures
</li>
<li>
Design and document Infrastructure as Code solutions, technical documentation, and how-tos
</li>
<li>
Help customers optimize pipeline performance and scalability
</li>
<li>
Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams
</li>
<li>
Assist with marketing efforts during events such as hackathons, conferences, and webinars
</li>
</ul>
 What You Bring
<ul>
<li>
5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing
</li>
<li>
Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python
</li>
<li>
Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
</li>
<li>
Solid understanding of the cloud ML tools landscape from industry leaders
</li>
<li>
Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
</li>
</ul>
Key Attributes for Success
<ul>
<li>
Self-starter who thrives in a fast-paced, evolving startup environment
</li>
<li>
Collaborative team player who can work effectively across different departments and cultures
</li>
<li>
Results-oriented with a strong sense of ownership and accountability
</li>
<li>
Innovative problem-solver who can identify new opportunities for growth
</li>
<li>
Continuous learner, eager to stay updated on the latest AI and cloud computing trends
</li>
<li>
High ethical standards and integrity, with a commitment to responsible AI development
</li>
<li>
Passionate about democratizing access to AI infrastructure
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location)
</li>
<li>
Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families
</li>
<li>
401(k) plan with a 4% match program
</li>
<li>
Stock options plan
</li>
<li>
Flexible remote work environment
</li>
<li>
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Opportunity to work with cutting-edge AI and cloud technologies
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
</ul>
Interviewing Process
<ul>
<li>
Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&amp;A)
</li>
<li>
Level 2: Virtual interview with the Hiring Manager (Skills assessment)
</li>
<li>
Level 3: Interview with the C-level (Final round)
</li>
<li>
Reference and Background Checks: Conducted post-interviews
</li>
<li>
Offer: Extended to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

Cloud Solutions Architect (Infra & AI Cloud)

Python Software Engineer, AI

<h3>Job Description</h3>
Job DescriptionAccepted Locations&nbsp;
We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote.
Loom Video
We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video
Overview&nbsp;
Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking JavaScript/React developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open!
What Will I Be Doing?&nbsp;
<ul>
<li>
Evaluating the quality of AI-generated code, including human-readable summaries of your rationale.&nbsp;
</li>
<li>
Building and evaluating React components, hooks, and modern JavaScript solutions.&nbsp;
</li>
<li>
Solving coding problems and writing functional and efficient JavaScript/React code.&nbsp;
</li>
<li>
Writing robust test cases to confirm code works efficiently and effectively.&nbsp;
</li>
<li>
Creating instructions to help others and reviewing code before it goes into the model.&nbsp;
</li>
<li>
Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots.
</li>
</ul>
Pay Rates&nbsp;
Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform.
Contract Length&nbsp;
This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work.
Flexible Schedules
Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises.
Interview Process
<ul>
<li>
Apply using this Ashby form.
</li>
<li>
If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it.
</li>
<li>
You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal.
</li>
</ul>
<ul>
<li>
You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available.
</li>
</ul>
Tech Stack Priorities&nbsp;
The current priority for this team is frontend engineers who are well versed in JavaScript, React, and modern web development frameworks and libraries.
Required Qualifications
<ul>
<li>
3+ years of experience in a software engineering/software development role.&nbsp;
</li>
<li>
Strong proficiency with JavaScript/React and frontend development.&nbsp;
</li>
<li>
Complete fluency in the English language.&nbsp;
</li>
<li>
Ability to articulate complex technical concepts clearly and engagingly.&nbsp;
</li>
<li>
Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines.
</li>
</ul>
Nice To Haves:&nbsp;
<ul>
<li>
Bachelor's or Master's degree in Computer Science.&nbsp;
</li>
<li>
Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular).&nbsp;
</li>
<li>
Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress).&nbsp;
</li>
<li>
Knowledge of state management solutions (Redux, Context API, MobX).&nbsp;
</li>
<li>
Experience with TypeScript and modern frontend tooling.&nbsp;
</li>
<li>
Recognized accomplishments or contributions to the coding community or in projects.&nbsp;
</li>
<li>
Proven analytical skills with an ability to approach problems creatively.&nbsp;
</li>
<li>
Adept communication skills, especially when understanding and discussing project requirements.&nbsp;
</li>
<li>
A commitment to continuous learning and staying updated with the latest coding advancements and best practices.&nbsp;
</li>
<li>
Enthusiasm for teaching AI models and experience with technical writing!
</li>
</ul>
If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Software Engineer for Training AI Data (JavaScript)

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a profitable Enterprise SaaS company specializing in data privacy governance, data security, consent management, and regulatory compliance solutions for enterprises. Their innovative patented Hybrid AI technology ensures seamless compliance with GDPR, CCPA, and other privacy regulations, while providing unified consent and preference management APIs for efficient data handling across multiple channels. With proven product-market fit and Fortune 100 customers, they're at the forefront of shaping the future of data privacy and AI-driven compliance.
The company leverages machine learning, text analytics, and data science at the right proportions, while using human experts in privacy and technology at the right stages of the workflow to fine-tune the output. Their platform helps brands engage consumers in a new way and manage data privacy across IoT devices, Apps, and Websites, in addition to traditional sales and marketing channels.
<ul>
<li>
Company HQ: United States
</li>
<li>
Product: AI-powered privacy compliance and data governance platform (SaaS)
</li>
<li>
Office Location: Greenville, DE or Falls Church, VA 2-3 days per week (company-paid relocation available)
</li>
<li>
Start Date: As soon as possible
</li>
</ul>
You'll be at the intersection of two of today's hottest tech trends: AI and data privacy. The data privacy management platform market is growing at a compound annual growth rate of 37.7%, and you'll be working with technologies that are genuinely making a difference in how enterprises protect customer data.
The Mission
Our client's mission is to contribute to a better society by advocating for proper data protection legislation, responsibly safeguarding customer data, preserving individual privacy rights, and enhancing trust between businesses and consumers through greater transparency. You'll play a critical role in driving the engineering vision and delivering impactful products that address evolving privacy and security challenges in an industry where trust continues to be a differentiator for business and an area of investment.
The Opportunity
As a Senior PHP Developer, you'll join a dynamic engineering team where you'll have a direct influence on the architecture and success of mission-critical privacy and data security products. We're offering a unique opportunity for an experienced engineer to advance into a Director of Engineering role within 18 months, while working on cutting-edge technology in a collaborative environment.
What You'll Do
<ul>
<li>
Write high-quality code aligned with product requirements that actually protects people's privacy
</li>
<li>
Build web applications, RESTful APIs, and efficient algorithms that handle millions of privacy requests
</li>
<li>
Optimize application performance, security, and browser compatibility for enterprise-scale deployments
</li>
<li>
Lead feature implementation and redesign complex interfaces that make privacy compliance intuitive
</li>
<li>
Influence technical decisions to ensure quality, scalability, reliability, and security
</li>
<li>
Mentor and guide other engineers, fostering a culture of excellence and growth
</li>
<li>
Act as a client-facing technical leader during implementation phases with Fortune 100 companies
</li>
<li>
Work closely with cross-functional teams to deliver on deadlines
</li>
</ul>
What You Bring
<ul>
<li>
Bachelor's degree or higher in Computer Science or related field (required)
</li>
<li>
Strong experience with LAMP/LEMP stack and Linux command line proficiency
</li>
<li>
Proven ability to build scalable, load-balanced web applications and APIs
</li>
<li>
Ability to be in a client-facing capacity as needed during the implementation phase
</li>
<li>
Startup or fast-paced environment experience with ability to manage multiple priorities
</li>
<li>
Ability to work from Greenville, DE or Falls Church, VA office 2-3 days per week (company-paid relocation available)
</li>
</ul>
Preferred Technical Skills
<ul>
<li>
Programming Languages: PHP, JavaScript, Python, Java
</li>
<li>
Frontend: ReactJS, JQuery, Bootstrap
</li>
<li>
Backend &amp; API: RESTful APIs, AJAX, microservices architecture
</li>
<li>
Data Technologies: SQL, NoSQL (Cassandra, MongoDB), Big Data (Hadoop, Hive, HBase)
</li>
<li>
Performance &amp; Messaging: Redis, RabbitMQ
</li>
<li>
Cloud &amp; Containers: Docker, AWS, IaaS, PaaS, Elastic Search
</li>
<li>
DevOps Tools: Git, Bitbucket, third-party testing frameworks
</li>
<li>
Bonus Points: Security/privacy technologies (encryption, vulnerability assessment)
</li>
<li>
Bonus Points: Open-source contributions, hands-on AI algorithm experience
</li>
</ul>
Key Success Drivers
<ul>
<li>
Self-Direction: Strong self-discipline and self-motivation
</li>
<li>
Integrity: High ethical standards, honesty, and transparency
</li>
<li>
Adaptability: Comfort in a fast-changing, startup-like environment
</li>
<li>
Collaboration: Ability to work effectively with diverse team members
</li>
<li>
Leadership Mindset: Proactive leadership and collaborative approach
</li>
</ul>
Why Join?
<ul>
<li>
Compensation: $125,000-$155,000 annually (negotiable depending on experience)
</li>
<li>
Healthcare Coverage: 100% company-paid medical, dental, and vision for employees; 50% for families
</li>
<li>
Retirement &amp; Security: 401(k) plan with company match and company-paid life insurance
</li>
<li>
Relocation Support: Company-paid relocation if needed, visa transfer negotiable
</li>
<li>
Hybrid Flexibility: 2-3 days in-office, promoting real work-life balance
</li>
<li>
Time Off: 2 weeks paid vacation to recharge
</li>
<li>
Professional Growth: Tuition reimbursement for continued education and technical training
</li>
<li>
Career Advancement: Clear path to Director of Engineering role within 18 months
</li>
<li>
Technical Impact: Significant influence on architecture and engineering practices
</li>
<li>
Meaningful Work: Contribute to protecting individual privacy rights and enhancing consumer trust
</li>
<li>
Industry Leadership: Be part of a company processing 50 million privacy requests daily
</li>
<li>
Collaborative Team: Work alongside talented engineers in a supportive environment
</li>
<li>
Team Building: Regular company-paid events, celebrations, and dinners
</li>
<li>
Startup Energy: Fast-paced, innovative environment with multiple growth opportunities
</li>
<li>
Market Position: Proven success with Fortune 100 customers and established product-market fit
</li>
<li>
Growing Market: Data privacy management platform market growing at 37.7% CAGR
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening - Initial conversation about the role and your background
</li>
<li>
Level 1: Phone interview with the Hiring Manager focusing on technical background and client communication skills
</li>
<li>
Level 2: On-site interview in the office with skills assessment
</li>
<li>
Reference and Background Checks: Conducted after successful interviews
</li>
<li>
Job Offer: Provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $125K - $155K

Senior Software Engineer (Data Privacy & AI)

<h3>Job Description</h3>
Job DescriptionLILT in the News
<ul>
<li>
List #52 in The Software Report’s Top 100 Software Companies!
</li>
<li>
LILT makes it onto the Inc. 5000 List.
</li>
<li>
AI Day Spring 2025 Webinar "Revolutionizing Content with AI Agents."
</li>
<li>
LILT's co-founder John Denero, and employees Joern Wuebker and Thomas Zenkel, were approved for U.S. Patent for their neural word alignment process, significantly advances machine translation by preserving formatting accuracy.
</li>
<li>
Check out all our news on our website.
</li>
</ul>
About LILT
LILT was founded by Spence and John, who met at Google working on Google Translate and saw the need for better AI-powered translation in the enterprise. Since 2015, LILT has focused on building cutting-edge language technology, investing early in Large Language Models to improve translation quality and meet the demands of global organizations.
Today, LILT’s Contextual AI Engine, Connector APIs, and Human Adaptive Feedback deliver accurate, nuanced translation across text, video, and speech in 100+ languages. Integrated with 100+ business systems, LILT helps enterprises scale global growth and deliver seamless multilingual experiences. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. LILT is backed by visionary investors including Intel Capital, Sequoia Capital, and Redpoint.
The Engineering Team at LILT 
LILT is a high-performance, large-scale language translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you’ll be implementing and working with the latest natural language processing (NLP) techniques and ideas.
Where You’ll Work
This position can be based out of our Emeryville, CA or Indianapolis, IN offices and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations.
What you’ll do
As a Senior Backend Engineer, you will work with a group of talented, mission-driven colleagues to propose ideas to define, drive, and execute projects on Lilt’s core platform–the heart of our machine translation services. You will enable customers to deliver multilingual journeys and to provide truly localized experiences. This is a high-visibility, high-impact role with enormous growth opportunities.
You must be curious, have attention to detail, be energized by a challenging entrepreneurial environment, be comfortable thinking big while also diving deep, and be open to experimenting and iterating on processes as the company grows.&nbsp;
Key Responsibilities
<ul>
<li>
Collaborate with engineering and infrastructure teams to design, build and improve our platform’s backend systems, file filters and data stores to help us scale our services effectively.
</li>
<li>
Apply your engineering experience to implement new platform features to drive growth, partnering with product and engineering teams to help decompose huge business requirements into smaller deliverables.
</li>
<li>
Actively mentor peers and Lilt’s community on advanced technical issues, helping them grow their careers.
</li>
<li>
Strive to raise the technical excellence bar, contributing to code quality, doing code reviews, increasing test coverage, etc.
</li>
</ul>
Skills and Experience
<ul>
<li>
5+ years of software development experience with several general purpose programming languages including Java and Python.
</li>
<li>
2+ years of experience leading a major software component.
</li>
<li>
Proven ability to drive large-scale engineering efforts to completion and demonstrated knowledge of industry trends and best practices for scaling cloud-based services.
</li>
<li>
Excellent written and verbal communication skills
</li>
</ul>
Nice to Have
<ul>
<li>
3+ years of experience with Okapi framework and file filters:&nbsp; XLIFF, XLIFF2, XML, JSON, Markdown, TTX filters, etc. 
</li>
</ul>
Benefits
<ul>
<li>
Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays
</li>
<li>
Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
</li>
<li>
Paid parental leave is provided after 6 months.
</li>
<li>
Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
</li>
</ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns or require accommodations related to the use of AI in our hiring process, please let us know at <a href="mailto:recruiting@lilt.com" target="_blank">recruiting@lilt.com</a>.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Compensation Range: $93K - $150K

Senior Backend Engineer

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a leading AI infrastructure provider operating a full-stack cloud platform designed for intensive AI workloads. The company features proprietary hardware and software architecture, including servers, racks, and data center designs. They're building comprehensive infrastructure for the global AI industry with large-scale GPU clusters and developer tools.
The Mission
Democratize access to cutting-edge AI infrastructure that accelerates global AI innovation at speed and scale, empowering builders worldwide.
The Opportunity
As the GTM Lead, you'll shape market positioning for Physical AI solutions, including GPU clusters, NVIDIA-powered infrastructure, and cloud platforms. This is a unique opportunity to drive Physical AI adoption across global enterprises in a well-funded, rapidly scaling organization.
What You'll Do
<ul>
<li>
Lead GTM strategy for Physical AI vertical with cloud infrastructure and AI computing solutions
</li>
<li>
Target industrial robotics, automotive OEMs, warehouse automation, and smart factory operators
</li>
<li>
Build distribution strategies with product engineering teams and industry experts
</li>
<li>
Drive enterprise sales from prospect engagement through deal closure and onboarding
</li>
<li>
Develop positioning, messaging, and GTM assets with cross-functional teams
</li>
<li>
Build thought leadership at industry conferences and trade shows
</li>
<li>
Lead talent acquisition and mentorship for GTM roles as the team scales
</li>
</ul>
What You Bring
<ul>
<li>
GTM or product leadership in AI, cloud, robotics, manufacturing, or deep tech
</li>
<li>
Success launching new products/verticals from scratch with founder-mentality ownership
</li>
<li>
Strong sales skills and ability to engage C-level stakeholders
</li>
<li>
Experience building strategic partnerships with ecosystem leaders like NVIDIA
</li>
<li>
Domain knowledge in robotics, industrial automation, or manufacturing
</li>
<li>
Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
</li>
<li>
Bonus: Startup founder experience, GPU platform familiarity, industry network
</li>
</ul>
Key Success Drivers
<ul>
<li>
Executive presence with healthy assertiveness and collaborative leadership
</li>
<li>
Intellectual curiosity about AI infrastructure and Physical AI applications
</li>
<li>
Comfort in dynamic, high-growth environments
</li>
<li>
Innovation-focused with cross-functional collaboration skills
</li>
<li>
Professional maturity and transparent communication
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs)
</li>
<li>
100% company-paid medical, dental, vision for employees and families
</li>
<li>
Flexible remote work environment
</li>
<li>
401(k) with 4% match, disability/life insurance
</li>
<li>
20 weeks parental leave (primary), 12 weeks (secondary)
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Opportunity to work with cutting-edge AI and cloud technologies
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening
</li>
<li>
Level 1: Hiring Manager interview (General fit)
</li>
<li>
Level 2: Interview with Head of Product (In-depth)
</li>
<li>
Level 3: Interview with Head of Sales (In-depth)
</li>
<li>
Level 4: Case Study
</li>
<li>
Reference and Background Checks: conducted after successful interviews
</li>
<li>
Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

GTM Lead, Physical AI (AI Infra)

<h3>Job Description</h3>
Job DescriptionSr. Business Intelligence Engineer need for a Bioscience company based in LA This Jobot Consulting Job is hosted by: Joseph Calabrese Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $50 - $55 per hour 
A bit about us:
 Bioscience company that creates nutritional products for premature infants in the neonatal intensive care unit (NICU) is looking for a Sr. Project Manager (PMO) to join their growing team. 
Why join us?
 
<ul>
<li> 100% paid Medical</li>
<li> Dental </li>
<li> Vision</li>
<li> 401k </li>
<li> Annual Bonus</li>
</ul>
 
Job Details
 Requirements: 
<ul>
<li>Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.</li>
<li>8+ years of experience developing visualizations and reports using Power BI, including proficiency in Self Service BI.</li>
<li>8+ years of experience with SQL Server, including stored procedures, triggers, scripts, and writing ETL processes using SQL Server Stored Procedures and SSIS.</li>
<li>Strong experience with data warehousing concepts, including STAR and Snowflake schemas.</li>
<li>Solid understanding of database management systems and data integration techniques.</li>
</ul>
 Experience in Agile SDLC, including the use of JIRA for project management and tracking 
<ul>
<li>8+ years of experience developing Enterprise-scale Data Warehouses and Data Marts, including:</li>
</ul>
 oEnhancing current data mart development oDesigning and implementing FACT Tables oApplying Ralph Kimball methodology/Kimball Lifecycle principles Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.Company DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com. 
<h3>Company Description</h3>
Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.\r\n\r\nFounded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).\r\n\r\nReady to find a good job? Create your profile today at Jobot.com.

Sr. Business Intelligence Engineer

<h3>Job Description</h3>
Job Description
List of accepted countries and locations
Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages:
<ul>
<li>
Compare &amp; rank multiple code snippets, explaining which is best and why.
</li>
<li>
Repair &amp; refactor AI-generated code for correctness, efficiency, and style.
</li>
<li>
Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do.
</li>
</ul>
RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship.
What You’ll Need
<ul>
<li>
4+ years of professional software engineering experience in Java (Constraint programming experience is a bonus, but not required)
</li>
<li>
Strong code-review instincts—you can spot logic errors, performance traps, and security issues quickly.
</li>
<li>
Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated.
</li>
<li>
You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment.
</li>
</ul>
What You Don’t Need
<ul>
<li>
No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience.
</li>
<li>
No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest.
</li>
</ul>
Tech Stack
We are looking for engineers with a strong command of Java.
Logistics
<ul>
<li>
Location: Fully remote — work from anywhere
</li>
<li>
Compensation: From $30/hr to $70/hr, depending on location and seniority 
</li>
<li>
Hours: Minimum 15 hrs/week, up to 40 hrs/week available
</li>
<li>
Engagement: 1099 contract
</li>
</ul>
Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Software Engineer, AI (Java)

<h3>Job Description</h3>
Job DescriptionLILT in the News
<ul>
<li>
List #52 in The Software Report’s Top 100 Software Companies!
</li>
<li>
LILT makes it onto the Inc. 5000 List.
</li>
<li>
AI Day Spring 2025 Webinar "Revolutionizing Content with AI Agents."
</li>
<li>
LILT's co-founder John Denero, and employees Joern Wuebker and Thomas Zenkel, were approved for U.S. Patent for their neural word alignment process, significantly advances machine translation by preserving formatting accuracy.
</li>
<li>
Check out all our news on our website.
</li>
</ul>
About LILT
LILT was founded by Spence and John, who met at Google working on Google Translate and saw the need for better AI-powered translation in the enterprise. Since 2015, LILT has focused on building cutting-edge language technology, investing early in Large Language Models to improve translation quality and meet the demands of global organizations.
Today, LILT’s Contextual AI Engine, Connector APIs, and Human Adaptive Feedback deliver accurate, nuanced translation across text, video, and speech in 100+ languages. Integrated with 100+ business systems, LILT helps enterprises scale global growth and deliver seamless multilingual experiences. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. LILT is backed by visionary investors including Intel Capital, Sequoia Capital, and Redpoint.
LILT in the News
<ul>
<li>
We were named to The Software Report’s fifth annual list of Software Companies! Click here to learn more and see the full list.
</li>
<li>
LILT listed on the Inc. 5000 List for the first time.
</li>
<li>
Check out all our news on our website.&nbsp;
</li>
</ul>
About Us
LILT is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale.
While our core AI technology might share similarities with ChatGPT and Google Translate, it's what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer's content and target audience to deliver hyper-accurate, business-focused results. Our connector-first approach seamlessly integrates with our customer's existing workflows, and our human-adapted feedback loop ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions.
LILT AI was recently named one of the Top 100 Software Companies in 2025! 
We’re honored to be recognized by The Software Report as one of the most impactful software companies in the world, ranking&nbsp;#52&nbsp;on their Top 100 list. LILT is more than a translation solution—it’s a strategic multiplier for global growth, enabling enterprises to unlock new markets, accelerate go-to-market strategies, and deliver seamless multilingual experiences at scale. We empower enterprises to create, translate, and summarize content across text, video, and speech in over 100 languages—all seamlessly integrated with 100+ business systems. Proud to be trusted by brands like Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. LILT is backed by visionary investors including Intel Capital, Sequoia Capital, and Redpoint.
The Solutions Team at LILT
LILT’s Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies.&nbsp; Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT’s overall offering.&nbsp; While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams.&nbsp; Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers.&nbsp; While we’re at it, we have fun and enjoy the ride together.
Where You’ll Work
Get the best of both worlds at LILT! Dive into dynamic in-office energy 3 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page!
This position can be based out of our San Francisco, CA or Indianapolis, IN offices and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations.
Authorization to work in the US is a precondition of employment.
What You’ll Do
We're looking for an experienced Solutions Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once.
You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise in sales pursuits to drive LILT customer acquisition and success.&nbsp; You will have a broad range of skills and experience ranging from global content management lifecycle, a working knowledge of NLP/MT, TM, glossary, and content pipelines and integrations.&nbsp; You will have the insight to make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. 
Key Responsibilities
<ul>
<li>
Serve as the technical co-pilot to LILT Account Executives and Account Managers, managing the customer’s technical experience from scoping (pre-sales) to deployment (post-sales / success)
</li>
<li>
Build and present references architectures, how-tos, and demo applications for customers
</li>
<li>
Be a subject-matter expert in translation and localization process optimization and best practices
</li>
<li>
Understand and align customer’s technology stack to optimize localization processes
</li>
<li>
Work closely with Engineering, Product, and Account Management teams to ensure smooth prospect-to-customer transitions and long-term customer success
</li>
<li>
Play an active role in the development and maintenance of client-integrations
</li>
<li>
Develop and iterate on internal processes to ensure consistency across our solutions engagements
</li>
<li>
Track existing technology solutions and follow the latest trends and developments relevant to multilingual content management and translation; specifically the application of AI 
</li>
</ul>
Skills and Experience
<ul>
<li>
REQUIRED: At least 4+ years of experience in a technical pre/post-sales role at a language services, language technology, or content management company
</li>
<li>
Experience working with a complex services-oriented solution
</li>
<li>
Proven ability to communicate, present, and influence credibly and effectively at all levels of the organization, including executive and C-level.
</li>
<li>
Subject matter expertise in localization solutions, technologies, and processes
</li>
<li>
Experience in localization engineering highly desirable
</li>
<li>
TMS and CAT Tool familiarity highly desirable
</li>
<li>
Familiarity with integrating CMS systems to translation workflows highly desirable
</li>
<li>
Familiarity with Large Language Models, including fine tuning, highly desirable
</li>
<li>
A passion for technical and solution-based problem solving
</li>
<li>
Analytical approach to intelligence gathering and project planning
</li>
<li>
Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives
</li>
<li>
Keen attention to detail and adherence to deadlines
</li>
<li>
Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment
</li>
<li>
Self-motivated and inspired by a results-driven environment
</li>
<li>
Confidence communicating technical ideas to various audiences, primarily through presentations, whiteboarding, and platform demonstrations
</li>
<li>
Comfort with a bit of chaos, startup experience is an advantage
</li>
<li>
Ability to work independently and self sufficiently while being part of a team and pursuing team goals
</li>
</ul>
Our Story
Our founders, Spence and John met at Google working on Google Translate.&nbsp; As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. They were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company and left to start a new company to address this need – LILT.&nbsp;
At its core, LILT has always been a machine learning company since its incorporation on March 6, 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, believing that this foundation was imperative to the future of enterprise translation.
Benefits
<ul>
<li>
Compensation: At market salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays
</li>
<li>
Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
</li>
<li>
Paid parental leave is provided after 6 months.
</li>
<li>
Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
</li>
</ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns or require accommodations related to the use of AI in our hiring process, please let us know at <a href="mailto:recruiting@lilt.com" target="_blank">recruiting@lilt.com</a>.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Compensation Range: $133K - $146K

3,912 Technology Jobs in Minnesota