Subject Matter Experts: Machine Learning Model Evaluation

We are running a paid study to evaluate the quality and accuracy of machine learning model outputs. This work directly informs how AI systems handle complex research tasks and domain-specific prompts. By analyzing these generated responses, we can better understand where current models succeed and where they require further refinement.

Participants will review a series of machine learning model outputs generated in response to specific research prompts. You will evaluate these responses for accuracy, relevance, and overall quality using a structured rating system. The project involves approximately five hours of independent work, which you can complete asynchronously. You will also provide brief written justifications for your ratings to help us understand your evaluation process.

We are looking for subject matter experts across various academic and professional domains with a strong eye for detail. We welcome researchers, data analysts, technical writers, and domain specialists who can critically assess complex information. If you have experience evaluating technical content or research data, you will be a great fit for this project.

• Review machine learning model outputs across a variety of research tasks
• Rate AI-generated responses for accuracy, relevance, and factual correctness
• Provide clear written justifications for your evaluation scores
• Complete approximately five hours of asynchronous evaluation work

• Professional or academic expertise in a specialized domain
• Strong critical thinking and analytical skills
• Comfortable reading and assessing complex technical or research-focused text
• Ability to commit approximately five hours to complete the evaluation tasks

• You will be engaged as an independent contractor.
• This is a fully remote opportunity that can be completed on your own schedule.
• Opportunities can be extended, shortened, or concluded early depending on needs and performance.
• Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are processed weekly based on services rendered.
• We are unable to support H1-B or STEM OPT candidates at this time.