AI Fact-Checking & Response Evaluation Reviewer (Japanese)
Mission of the Role
Apply independent judgment to identify AI blind spots, reasoning failures, factual inaccuracies, contradictory evidence, and quality gaps.
Successful reviewers do not simply validate AI-generated conclusions—they critically evaluate them. Your role is to verify evidence, challenge unsupported assumptions, and ensure AI systems learn from accurate, reliable, and well-supported information.
Your expertise will help build more reliable, trustworthy, and human-centered AI systems.
About the Role
At TrustScale, we believe AI improves when people are willing to question it.
As an AI Fact-Checking & Response Evaluation Reviewer, you will evaluate AI-generated responses, verify evidence, challenge unsupported conclusions, and help define the standards that AI systems learn from.
Good AI is built on good judgment.
TrustScale is seeking experienced Japanese -language professionals to evaluate AI-generated responses, verify factual accuracy, assess supporting evidence, and help define the quality standards that AI systems learn from.
As an AI Fact-Checking & Response Evaluation Reviewer, you will review AI-generated content, determine whether conclusions are supported by evidence, identify reasoning gaps, challenge unsupported claims, and help improve the reliability of next-generation AI systems.
This is not a traditional annotation, translation, or data-entry role.
This role requires individuals who are comfortable questioning conclusions, investigating claims, and making evidence-based decisions—even when those decisions differ from AI-generated recommendations.
The strongest reviewers are naturally curious, skeptical of unsupported claims, detail-oriented, and confident applying their own judgment when evaluating information.
This is a remote freelance opportunity with flexible hours and payment in USD.
Remote | Freelance | Flexible Schedule | Paid in USD
We are seeking a small group of experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis.
What You'll Do
Review and evaluate AI-generated responses in Japanese
Verify factual claims using reliable online sources and supporting evidence
Assess whether evidence supports, contradicts, or fails to support AI-generated conclusions
Identify AI blind spots, reasoning failures, factual inaccuracies, and quality gaps
Evaluate response quality, relevance, completeness, and alignment with user intent
Detect inconsistencies, unsupported claims, contradictory information, and missing evidence
Apply independent judgment rather than relying solely on automated decisions
Challenge AI-generated conclusions when evidence suggests a different outcome
Provide clear quality feedback and rationale for review decisions
Participate in training, calibration, and quality alignment sessions conducted in English
Maintain quality, consistency, commitment, and productivity expectations while meeting project requirements
Collaborate with project teams to continuously improve reviewer standards and AI quality outcomes
What Success Looks Like
Successful reviewers:
Verify information before accepting conclusions
Challenge AI-generated decisions when evidence suggests otherwise
Distinguish between supported, unsupported, and contradictory claims
Remain objective when evaluating information
Demonstrate consistency across complex review tasks
Maintain strong productivity while preserving quality standards
Use evidence rather than assumptions to make decisions
Take ownership of quality outcomes
Demonstrate reliability and commitment throughout the project lifecycle
Required Qualifications
Native or near-native fluency in Japanese
Strong English proficiency, including the ability to understand guidelines and participate in training sessions
Previous experience in Fact-Checking, Quality Assurance, Content Review, Search Evaluation, Annotation Review, Trust & Safety, Data Quality, Linguistic QA, Research Analysis, or similar analytical roles
Excellent critical-thinking and analytical skills
Strong evidence-based decision-making abilities
Strong attention to detail and consistency
Ability to independently evaluate and challenge AI-generated conclusions
Ability to distinguish between factual support, contradiction, and insufficient evidence
Ability to interpret complex queries and assess response quality accurately
Comfortable working with structured data and AI-related projects
Comfortable working with ambiguity and incomplete information
Ability to pass a qualification assessment in English
Preferred Qualifications
Experience reviewing AI training data or annotation projects
Experience with Response Evaluation, Search Quality Rating, RLHF, LLM evaluation, AI model assessment, or human-in-the-loop review workflows
Experience in Fact-Checking, Trust & Safety, Information Verification, or Online Research
Background in journalism, research, education, editorial review, investigation, or content quality assessment
Experience providing quality feedback, coaching, or calibration support to reviewer teams
Experience working with time-sensitive content such as news, public information, sports, finance, or search-related content
Why Join TrustScale
100% remote and flexible work environment
Paid in USD
Work on cutting-edge AI and language technologies
Collaborate with a global network of AI quality professionals
Long-term opportunities for high-performing contributors
Potential growth into advanced AI Quality, Fact-Checking, and QC Specialist roles
Help shape how AI systems evaluate information and make decisions
Contribute directly to the development of safer, more reliable, and more trustworthy AI systems
Qualification Process
Due to the specialized nature of AI quality work, selected candidates will complete a qualification process before onboarding.
This process may include guideline reviews, platform training, UI navigation exercises, knowledge assessments, fact-checking exercises, and project simulation tasks designed to evaluate quality, accuracy, consistency, critical thinking, decision-making skills, and overall readiness for project work.
All qualification activities are unpaid and form part of the candidate evaluation process. Successful completion does not guarantee project placement, as final selection is based on assessment performance, demonstrated commitment, consistency of quality, project requirements, and available capacity.
TrustScale seeks contributors who consistently deliver high-quality work, actively engage with project requirements, demonstrate reliability, and maintain strong reviewer judgment throughout the project lifecycle.
About TrustScale
TrustScale, an e2f company, empowers organizations to scale AI initiatives with confidence. We deliver high-quality data, evaluation, and AI solutions that help leading technology companies build more accurate, reliable, and trustworthy AI systems.
At TrustScale, we believe that human judgment remains essential to building trustworthy AI.
As an AI Fact-Checking & Response Evaluation Reviewer, your evaluations help determine whether AI-generated conclusions are supported by evidence, grounded in facts, and aligned with user needs. Your expertise helps define what good looks like—and your judgment becomes part of the foundation from which AI learns.
Limited openings available. Early applications are encouraged.
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