About OpenTrain
OpenTrain is the centralized, open platform where AI training and data-labeling freelancers find work, consolidate opportunities across platforms, and build a unified AI training portfolio they control. We make specialized AI training work easier to track, apply for, and grow into a durable freelance career.
Why work with OpenTrain
OpenTrain gives freelancers one place to manage AI training opportunities instead of rebuilding proof of work on every platform. A stronger OpenTrain profile helps you show credible experience, discover roles that match your skills, and turn AI training and data-labeling work into a long-term portfolio.
About this role
OpenTrain is recruiting for a Finance Task Reviewer to evaluate finance-related questions and answers for AI training data generation. In this role, you will assess the accuracy, relevance, clarity, and logical structure of pre-created finance tasks, ensuring they meet rigorous domain-specific standards. This project is a short-term opportunity with the potential for extension, and reviewers work remotely with a weekly commitment of up to 40 hours, including a 4-hour overlap with PST.
What you will do
– Evaluate existing finance task questions and answers for accuracy, relevance, clarity, and logical soundness.
– Determine whether each task is well-structured and aligned with domain-specific standards for training data generation.
– Provide quality assessments based on your deep understanding of finance concepts, financial statements, ratios, and models.
– Work a schedule of up to 40 hours per week with a 4-hour PST overlap.
Required skills
– Minimum 5 years of professional experience in finance or a related domain.
– Strong knowledge of general finance concepts and practical business applications.
– Ability to interpret financial statements, calculations, ratios, and models.
– Excellent analytical, critical-thinking, and written communication skills.
– Ability to assess accuracy, relevance, clarity, and quality of questions and answers.
Helpful background
– CA, CFA, CMA, CPA, MBA Finance, M.Com, or equivalent qualification.
– Experience in financial analysis, consulting, audit, investment banking, corporate finance, or research.
– Prior experience in training data generation or task review (preferred but not mandatory).
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