The work
You will evaluate responses from multiple chatbots and make consistent judgments using project guidelines. Your reviews will help identify answers that are inaccurate, unclear, incomplete, irrelevant, or otherwise low quality.
The role combines structured text review, written documentation, and collaboration with project and quality teams. You will also raise complex or unclear cases when needed and work toward productivity and turnaround-time targets.
- Compare responses produced by multiple chatbots.
- Review accuracy, relevance, completeness, clarity, and guideline compliance.
- Identify errors, inconsistencies, omissions, and other quality issues.
- Provide structured feedback and final quality assessments.
- Document findings clearly and maintain consistency across reviews.
- Collaborate with project and quality teams to resolve questions.
- Escalate complex or ambiguous cases when appropriate.
What it pays and takes
This is an entry-level, project-based freelance role. Prior experience in quality assurance, data annotation, content evaluation, testing, or a similar area is required, while chatbot evaluation, large language model testing, data-quality projects, and business analysis are helpful.
- Pay: Not provided in this listing.
- Schedule: 20+ hours per week across five working days, including weekends as required, with two weekdays off.
- Project length: 16 weeks.
- Location: Fully remote and open worldwide.
- Language: Fluent in English.
- Required skills: Analytical thinking, critical thinking, problem-solving, written and verbal communication, and close attention to detail.
- Tools: Comfort working with AI tools, chatbots, and online platforms.
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 and understand text, images, audio, and code. Contributors review examples and model outputs so AI systems can become more accurate, useful, and consistent.