Job specializations:
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IT/Tech
Data Scientist, AI Evaluation, Data Annotation/ AI Labeling, AI Engineer (Applied/Software) -
Research/Development
Data Scientist, AI Evaluation, Data Annotation/ AI Labeling
Job Description & How to Apply Below
Train AI systems from anywhere in approved countries by solving quantitative problems, reviewing analytical code, and setting your own schedule. Remote contract work.
Data Annotation seeks an experienced quantitative researcher for AI training tasks. You will work with state-of-the-art models on technical problems involving data, models, and scientific reasoning. The work can complement a full-time role or serve as a primary focus, with projects selected through the platform after assessment.
Key Responsibilities:- Solve quantitative problems used to train AI systems
- Benchmark models across forecasting and optimization tasks
- Evaluate real-world validity of generated scientific analysis
- Explain analytical findings clearly in writing
- Document code used for quantitative evaluations
- Two-plus years in research or quantitative work
- Coding experience with end-to-end analytical code
- Statistical inference and predictive modeling experience
- Time-series forecasting or classification experience
- Native or bilingual English fluency and strong writing
Use quantitative research, statistical inference, forecasting, and coding skills to train and benchmark AI models remotely.
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