Data Scientist Talent Network (Train AI Models Part Time
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Role details
Tech stack
Job description
hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.
Mercor is building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.
There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.
- Potential Responsibilities
Future projects may involve:
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Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks
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Evaluating AI-generated or human-created work against established criteria
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Providing detailed written justifications for evaluations and scores
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Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
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Incorporating structured feedback from senior reviewers and iterating on submitted work
Requirements
1+ years of professional data science experience
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Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent)
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Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses
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Exceptional written communication skills, including the ability to convey technical findings clearly
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A detail-oriented and consistent approach to evaluating complex work
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Comfort receiving feedback and calibrating judgment against established standards
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