Data Science Specialist – AI Trainer
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Job Description
Freelance data science specialist evaluating and improving language models for Meridial. Testing analytical reasoning, documenting failure modes, and refining prompts and evaluation metrics.
Responsibilities:
- Converse with advanced language models on project scenarios and theoretical data science questions
- Verify factual accuracy and logical soundness of model responses
- Capture reproducible error traces
- Suggest improvements to prompt engineering and evaluation metrics
- Challenge language models across machine learning, statistical modeling, data engineering, data visualization, NLP, time series analysis, deep learning, and algorithm development
- Document model failure modes to improve model reasoning
Requirements:
- Data science expertise in machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development
- Ability to evaluate supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines
- Ability to document failure modes and capture reproducible error traces
- Ability to verify factual accuracy and logical soundness
- Clear, metacognitive communication and ability to “show your work”
- A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal
- Peer-reviewed publications, industry projects, cloud platform experience, or open-source contributions signal fit
- Secure computer and high-speed internet for contract work
Benefits:
- Pay range of $6–$65 per hour, with the exact rate determined after evaluating experience, expertise, and geographic location
- Contractor supplies a secure computer and high-speed internet
- Company-sponsored health insurance and PTO do not apply
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