QA Engineer
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Science
AI Evaluation, Data Annotation/ AI Labeling
Job Description & How to Apply Below
Mercor connects talented professionals with opportunities to contribute to work across artificial intelligence, technology, and business. Through its platform, the company helps organizations identify skilled people for projects that require subject-matter knowledge, careful judgment, and clear communication. Mercor’s work brings together people and technology to support the development, evaluation, and improvement of AI systems. The company values adaptability, professionalism, and a commitment to producing reliable, high-quality work.
AboutThe Company
Mercor connects talented professionals with opportunities to contribute to work across artificial intelligence, technology, and business. Through its platform, the company helps organizations identify skilled people for projects that require subject-matter knowledge, careful judgment, and clear communication. Mercor’s work brings together people and technology to support the development, evaluation, and improvement of AI systems. The company values adaptability, professionalism, and a commitment to producing reliable, high-quality work.
AboutThe Role
Mercor is seeking an AI Training Specialist to contribute professional expertise to projects that help evaluate and improve AI-generated content. In this role, you will review model responses, create or refine written examples, and assess whether outputs are accurate, relevant, clear, and aligned with project guidelines. Assignments may cover different subject areas and can vary in scope, pace, and duration based on client needs.
This position is suited to a detail-oriented professional who can work independently, interpret written instructions, and apply sound judgment consistently. You will use digital tools to complete project tasks, document your decisions, and incorporate feedback. The role may be remote and project-based; specific schedules, eligibility requirements, and engagement terms will be shared during the application process.
Applicants should have strong written communication skills and the ability to explain decisions clearly and objectively. Relevant professional experience, academic study, or demonstrated knowledge in a subject area may be required for particular projects. You should be comfortable reading complex material, identifying factual or logical issues, and comparing multiple responses against defined criteria. Successful candidates are organized, dependable, and attentive to detail.
They can follow detailed instructions, manage deadlines, and adapt when project guidelines change. Familiarity with online research, collaborative platforms, and common productivity tools is helpful. A degree or specific credential may be preferred for some assignments, but requirements will depend on the subject matter and project.
Review AI-generated responses and assess them for accuracy, usefulness, clarity, completeness, and adherence to project-specific standards. Write, edit, or revise examples and prompts to support the evaluation or training of AI systems. Identify unsupported claims, inconsistencies, ambiguous wording, and other quality concerns, and record feedback in the required format. Apply evaluation guidelines consistently while exercising appropriate subject-matter judgement. Conduct research when necessary, using credible sources and documenting relevant findings in accordance with project instructions.
Protect confidential information and follow applicable data-handling and platform policies. Meet agreed deadlines, communicate promptly about questions or blockers, and respond constructively to quality reviews and feedback. Maintain accurate records of completed work and raise recurring issues that may affect consistency or project quality. Collaborate professionally with project leads and other contributors when coordination is required, while taking ownership of assigned tasks and delivering work that meets established standards.
Depending on the project and engagement arrangement, contributors may have access to flexible, remote work and the opportunity to apply their expertise to emerging AI initiatives. Project-based work can offer variety, exposure to different subject areas, and the ability to build experience evaluating AI systems. Compensation, payment schedule, hours, and any additional benefits vary by assignment and worker classification. Specific terms will be provided before you accept an engagement.
EqualOpportunity
Mercor is…
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