<h3>Job Description</h3>
Job DescriptionAbout Our Client
 Our client is a leading force in advancing safer, smarter AI technology. Their work has been featured in Forbes, The New York Times, and other major outlets for pioneering high-quality, human-verified data that powers today’s top AI systems. 
 They have built a global community of expert contributors and have paid more than $500 million to professionals all over the world who help train, test, and improve next-generation AI models. 
Why Join This Team?
<ul>
<li>Earn up to $50/hr, paid weekly</li>
<li>Payments via PayPal or AirTM</li>
<li>No contracts, no 9-to-5 - you control your schedule</li>
<li>Most experts work 5-10 hours/week, with the option to work up to 40 hours from home</li>
<li>Join a global community of experts contributing to advanced AI tools</li>
<li>Free access to the Model Playground to interact with leading LLMs</li>
</ul>
Requirements
<ul>
<li>Bachelor’s degree or higher in a quantitative, technical, or business discipline (e.g., Statistics, Mathematics, Data Science, Operations Research, Computer Science, Engineering, Economics, Finance, or similar)</li>
<li>2+ years of experience in an analyst, consultant, or research role involving quantitative analysis, modeling, or forecasting</li>
<li>Demonstrated experience working with datasets end-to-end: sourcing, cleaning, analyzing, and deriving insights</li>
<li>Proficiency with data analysis tools such as Python, R, SQL, or similar, and familiarity with visualization methods</li>
<li>Strong problem-solving skills, attention to detail, and ability to clearly explain results to non-technical audiences</li>
</ul>
What You’ll Do
<ul>
<li>Support the training of generative AI models by applying advanced analytical skills</li>
<li>Find and source open datasets relevant to business and research needs</li>
<li>Clean, transform, and prepare data for analysis and modeling</li>
<li>Build statistical or forecasting models to extract meaningful insights</li>
<li>Communicate findings clearly, emphasizing implications and actionable recommendations</li>
</ul>
Apply now and join the top 1% of data analyst experts worldwide to shape the future of AI.

Data Analyst (Remote)

<h3>Job Description</h3>
Job Description
The QA Analyst is responsible for both manual and automated testing phases of the production process to ensure that final products meet company standards. Duties include identifying whether products are functional, reliable, and meet the end user's expectations. The analyst will collaborate closely with the development team to test new requirements or enhancements to existing systems. They will test usability, functionality, and performance in test builds prior to release to ensure system functionality, compliance with requirements, and overall product quality.
Essential Duties and Responsibilities
Design and implement testing plans for products, covering both manual and automated test cases.
Develop, maintain, and execute automated test scripts using modern frameworks (e.g., Selenium, Cypress, NUnit, or similar).
Identify procedures and scenarios for the quality control of products and services.
Process product reviews and inform the development team of defects and errors.
Communicate quantitative and qualitative findings from test results to the development team.
Ensure that the final product satisfies the product requirements and meets end-user expectations.
Identify areas for improvement to enhance the product's efficiency and reliability.
Participate in SCRUM meetings, sharing feedback from test cases with the development team.
Participate in systems integration testing to ensure that new functionality does not affect prior functionality.
Collaborate with DevOps teams to integrate automated testing into CI/CD pipelines.
Document test cases, test results, and maintain regression test suites for ongoing product releases.
Additional Requirements
Minimum 5 years’ experience in quality assurance, with exposure to both manual and automated testing
Experience in the insurance field is strongly preferred.
Strong backend testing skills, including writing SQL queries.
Experience in testing C# applications, web services, XML, and APIs.
Ability to produce complex edge cases and corner cases.
Experience with automation tools and frameworks (e.g., Selenium, Postman, JMeter, Cypress, NUnit, or similar).
Experience with DevOps and SCRUM environments.
Excellent organizational skills; able to manage multiple projects in a fast-paced environment.
Able to compile and organize information from scratch and synthesize into test cases.
Strong understanding of CI/CD pipelines and integration of automated tests.
Test systems and/or system changes for functionality, accuracy, and performance.
High standard of ethics and teamwork with management, peers, and agents.
Benefits and Compensation
Salary commensurate with experience.
Medical, dental, and vision insurance.
Paid time off and holidays.
401k eligibility with company match.
Company DescriptionThe Woodlands Financial Group (TWFG) is a national, public organization headquartered in The Woodlands, Texas with over 300 retail offices in 16 states, and 2200 wholesale independent agents in 38 states. 
<h3>Company Description</h3>
The Woodlands Financial Group (TWFG) is a national, public organization headquartered in The Woodlands, Texas with over 300 retail offices in 16 states, and 2200 wholesale independent agents in 38 states.

10,372 Technology Jobs in Township 13, Morning Star, NC, USA