Contract Review Expert
SME CareersWritingFirst seen 9 Oct 2026
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- Where
-
17 countries
United States, Germany, Brazil, India, Bangladesh, Bhutan, Indonesia, Cambodia, Sri Lanka, Malaysia, Nepal, Philippines, Pakistan, Singapore, Thailand, Timor Leste, Vietnam
- Language
- English
- Type
- Contract, remote
- Field
- Writing
Posted on SME Careers First seen 9 Oct 2026Checked 12 Oct 2026
From the SME Careers listing
In this hourly, remote contractor role, you will work as a Contract Review Subject Matter Expert (SME) to review AI-generated contract analyses and drafting outputs and/or create expert contract content, evaluating reasoning quality and step-by-step issue spotting while providing precise written feedback. You will assess solutions for accuracy, clarity, completeness, and adherence to the prompt; identify errors in clause interpretation, risk allocation, missing terms, ambiguity, enforceability concerns, and negotiation strategy; fact-check legal concepts and (when required) citations; write high-quality explanations and model revisions that demonstrate correct, risk-aware contract reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs.
Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Responsibilities
- Develop AI Training Content: Create detailed prompts and gold-standard contract outputs (issue lists, redlines, negotiation notes, clause rewrites, playbook guidance).
- Optimize AI Performance: Evaluate and rank AI responses to improve correctness, defensibility, clarity, and practical negotiation usefulness.
- Ensure Model Integrity: Test AI outputs for inaccuracies, misleading certainty, confidentiality risks, and bias; validate reliability across contract scenarios.
Requirements
- JD/LLB (or equivalent) or Paralegal/Contracts professional background with substantial contract review experience (depending on role level).
- 5+ years of professional experience in contracts (in-house legal, law firm, procurement, vendor management, legal ops, or contracts management).
- Strong ability to identify and explain contract risk: liability caps, indemnities, warranties, limitations/exclusions, termination rights, payment risk, IP ownership/licensing.
- Experience reviewing and redlining common commercial agreements (as applicable): MSAs, SOWs, NDAs, DPAs, SaaS/subscription agreements, vendor/supplier agreements, services agreements.
- Comfort with privacy/security clauses (high level): confidentiality, data processing, security standards, breach notification, subcontractors, audit rights.
- Strong attention to detail: spotting ambiguity, inconsistent definitions, missing exhibits, conflicting clauses, and misaligned business terms; minimum C1 English proficiency.
- Ability to write clear, practical guidance and produce “gold standard” redlines/explanations for non-legal audiences.
- Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
- Familiarity with contract lifecycle management (CLM) tools and version control is a plus.
- Prior experience with AI data training/annotation, legal QA, knowledge management, or template library maintenance is strongly preferred.
Text above is the platform's own listing, shown as published. Check the details on SME Careers before applying.
Prepare for the assessment
Practice questions and what each platform says about its screening for this kind of role:
Terms in this listing
- Prompt: The input given to a model: a question, an instruction or a conversation so far.
- Rewrite: A task where you fix a model's answer so it is correct, complete and follows the guidelines, instead of only scoring it.
- Annotation: Adding labels or notes to data such as text, images, audio or video so a model can learn from it.
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