Role Description
In this hourly, remote contractor role, you will work as a Legal & Compliance Subject Matter Expert to:
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Create challenging professional questions.
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Evaluate AI-generated legal and regulatory content.
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Design high-quality rubrics defining what a complete, well-reasoned, and professionally appropriate response should contain.
You will develop tasks involving:
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Legal analysis
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Regulatory interpretation
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Compliance
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Issue spotting
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Risk assessment
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Policy interpretation
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Contracts
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Privacy
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Financial regulation
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Employment matters
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Corporate compliance
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Related fields depending on your specialization
You will evaluate whether AI-generated responses:
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Identify relevant issues
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Apply appropriate rules or standards
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Recognize exceptions
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Distinguish facts from assumptions
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Address relevant risks
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Avoid unsupported conclusions
A major component of this role is rubric writing and evaluation design. You will:
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Translate nuanced legal or regulatory judgment into structured criteria covering:
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Issue identification
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Applicable standards
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Analysis quality
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Completeness
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Exceptions
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Jurisdictional considerations
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Risk
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Professional reasoning
This role is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the worldβs largest AI companies and foundation-model labs. Your expertise directly helps improve the worldβs premier AI models by making their legal and compliance outputs more accurate, rigorous, and professionally reliable.
Qualifications
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JD, LLB, LLM, law degree, compliance qualification, or equivalent professional background relevant to the stated specialty.
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Professional legal qualification or bar admission is strongly preferred for attorney-focused roles.
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Strong professional proficiency in English, minimum C1.
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3+ years of professional experience in law, regulatory compliance, legal research, policy, risk, privacy, financial compliance, contracts, or a related field.
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Demonstrated expertise in a clearly defined legal, regulatory, or compliance domain.
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Ability to create challenging professional scenarios requiring issue spotting, interpretation, analysis, and judgment.
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Strong ability to design rubrics defining required issues, applicable standards, reasoning steps, relevant exceptions, risks, and critical omissions.
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Ability to distinguish between legitimate alternative legal interpretations and objectively deficient analysis.
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Comfortable reviewing and critiquing rubrics developed by other legal or compliance experts.
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Strong attention to detail when evaluating terminology, factual assumptions, jurisdiction, authority, exceptions, materiality, and conclusions.
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Experience with legal education, examination writing, peer review, legal editing, quality assurance, policy drafting, compliance testing, or supervisory review is strongly preferred.
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Prior experience with AI evaluation, legal AI, data annotation, RLHF, model benchmarking, or rubric-based scoring is preferred.
Key Responsibilities
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Create legal and compliance tasks: Develop realistic, difficult scenarios requiring expert analysis and professional judgment.
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Design detailed rubrics: Define relevant issues, rules, standards, analytical steps, exceptions, risks, and critical errors.
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Evaluate AI-generated analysis: Assess responses for accuracy, completeness, reasoning quality, relevance, and professional rigor.
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Review issue spotting: Determine whether the model identifies the material legal or regulatory considerations.
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Assess reasoning quality: Identify unsupported conclusions, incorrect application of rules, missing exceptions, and faulty assumptions.
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Critique peer rubrics: Review rubrics for missing issues, ambiguity, redundancy, excessive subjectivity, or inaccurate legal expectations.
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Develop reference content: Create high-quality analyses, answer frameworks, critiques, and gold-standard examples.
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Support AI training: Produce questions, rubrics, evaluations, preference data, and reference-answer pairs for RL and SFT workflows.
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Maintain professional quality: Ensure content appropriately distinguishes factual analysis, legal interpretation, professional judgment, and uncertainty.