AI Written Response Evaluator and Assessor

The work

You will assess written responses produced by AI systems and explain your decisions in clear, detailed feedback. The work involves applying set rubrics consistently and keeping accurate records while collaborating asynchronously through digital content review platforms.

• Compare multiple AI-generated responses for clarity, tone, helpfulness, and adherence to instructions.
• Assign quality scores using analytical rubrics and defined review guidelines.
• Write rationales that explain each assessment and identify the evidence behind your decision.
• Find factual errors, internal inconsistencies, unsupported claims, and problems that may reduce reliability or usefulness.
• Recognize responses that sound fluent but lack support, or that are detailed but impractical for their intended audience.

What it pays and takes

This is a remote, part-time contractor engagement. The work can be completed alongside other professional obligations, with asynchronous collaboration supporting independent delivery.

• Pay: $90 to $140 per hour.
• Work setting: Remote and asynchronous.
• Open to candidates in these listed locations: AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, ZA.
• Language: Full professional fluency in written English.
• Experience reviewing, marking, grading, examining, or assessing written work against defined criteria or rubrics.
• Background in assessment design, instructional design, peer review, thesis supervision, or academic writing support.
• Strong attention to detail, critical analysis, and the ability to make objective, well-articulated judgments.
• Ability to work independently and meet project deadlines in a remote setting.
• Completed degree from an accredited institution in the United States, Canada, United Kingdom, Ireland, Australia, or New Zealand.
• Experience with model evaluation, reinforcement learning from human feedback, or data annotation is useful but not required.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is the human work behind systems that generate text and other content. Reviewers compare model responses, judge their quality, and provide feedback that helps improve how AI systems respond, so careful analysis and subject experience are valuable.