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Data Scientist – Python (Remote) – Hire Feed
Hiring Agency: Hire Feed
End-Client Industry: Global Technology, Information & Internet Industry
Role Title: Data Scientist / AI Data Rater – Python
Location: Remote (Work from Anywhere)
Work Type: Full-Time
Core Tech Stack: Python, Jupyter Notebooks, Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF), Model Benchmarking, Reward Model Alignment, AI Evaluation
Role Overview
Hire Feed is recruiting a Data Scientist / AI Rater (Python focus) for a full-time, fully remote role with a major global technology partner.
This role focuses on the alignment, evaluation, and fine-tuning of next-generation Large Language Models (LLMs) and generative AI systems. You will write high-quality Python code to benchmark model performance, execute Reinforcement Learning with Human Feedback (RLHF), build task-specific datasets for Supervised Fine-Tuning (SFT), and craft technical rationales to train reward models.
Key Responsibilities
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RLHF & Reward Model Optimization: Collaborate with researchers and AI annotators to execute RLHF workflows, evaluate reward models, and rank AI model outputs across diverse query domains.
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Supervised Fine-Tuning (SFT): Lead the creation, curation, and maintenance of task-specific, high-quality Python datasets for SFT training pipelines.
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Model Benchmarking & Evaluation: Design, execute, and document model evaluation frameworks to track accuracy, safety, alignment, and performance improvement.
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Technical Reasoning & Documentation: Write precise technical explanations, edge-case analysis, and step-by-step logic in Jupyter Notebooks to validate model output quality.
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Code Development & Debugging: Develop efficient, clean Python scripts for data manipulation, public database extraction, and debugging model training workflows.
Required Qualifications & Competencies
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Technical Skills:
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High proficiency in Python for machine learning, data manipulation, and model benchmarking.
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Core background in data science, machine learning principles, and AI evaluation methodologies.
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Demonstrated ability to extract actionable insights from public databases and APIs using business acumen.
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Strong debugging skills and capability to write technical documentation.
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Soft Skills: Exceptional verbal and written communication skills to clearly articulate technical reasoning, logical flows, and evaluation rationales.
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Work Style: High autonomy, attention to detail, and comfort operating in distributed, remote-first AI research setups.
Role Summary
| Attribute | Details |
| Job Title | Data Scientist – Python (Remote) |
| Recruitment Platform | Hire Feed |
| Location | 100% Remote (Global / Anywhere) |
| Employment Type | Full-Time |
| Primary Domain | AI Model Alignment, RLHF, SFT, Reward Model Training |
| Core Stack | Python, Jupyter Notebooks, Supervised Fine-Tuning, Public Databases, Model Benchmarking |
