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OpenTrain AI is seeking an Australian Litigation AI Evaluation Lawyer for remote, project-based expert review work. The engagement is contractor and part-time, with an initial commitment of about 10 hours and potential for more.
The role focuses on evaluating AI-generated legal answers in litigation and Australian procedural law, with an emphasis on concise written feedback. You will run prompts across two platforms, compare results side-by-side, score with a rubric, and provide well-supported
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AI training is the human side of building artificial intelligence. Expert reviewers assess model-generated content, identify strengths and weaknesses, and provide feedback that helps AI systems produce more accurate and useful responses.
In this role, your legal judgment will help evaluate how language-model systems handle real questions involving Australian law.
OpenTrain AI is seeking an Australian Litigation AI Evaluation Lawyer to compare answers from two AI language-model platforms. You will assess responses to legal prompts focused on litigation, disputes, contentious practice, and Australian procedural law.
This is remote, project-based expert review work conducted under a confidentiality agreement. The engagement has an initial commitment of approximately 10 hours and strong potential for additional work. The listing indicates a time requirement of 20+ hours per week.
You will independently review and compare AI-generated legal answers, applying a consistent evaluation framework. Your concise written explanations will help measure the quality of legal responses and identify where systems need improvement.
This opportunity requires professional legal expertise in Australia, particularly in litigation, disputes, contentious practice, and procedural law. The listing identifies the experience level as entry level, but it also requires at least two years of relevant professional experience.
Experience handling contentious legal matters in a law firm or barristers' chambers is particularly relevant. Lawyers who moved in-house within the last two years may also be considered if they bring the required prior firm or chambers background.
AI training and data-labeling work is a fast-growing area of technology. Human experts contribute essential knowledge by evaluating model outputs, reviewing content, and helping shape how advanced AI systems behave.
Remote, flexible projects can allow specialists to apply their professional expertise to cutting-edge technology while building experience in an expanding industry.