Senior Machine Learning & Data Scientist (Remote | $120–$170/hr)
Summary
Evaluate AI-generated ML models and data science solutions for accuracy, applying machine learning, statistical modeling, and Python/SQL to improve AI reasoning and performance.
Senior Machine Learning & Data Scientist
Position: Senior Machine Learning & Data Scientist
Type: Hourly Contract (Part-Time)
Compensation: $120–$170/hour
Location: Remote
About the Opportunity
This opportunity is for experienced Senior Machine Learning & Data Scientists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems.
The role involves evaluating AI-generated machine learning models, data science solutions, statistical analyses, and predictive approaches. You'll apply your expertise across machine learning, data science, statistical modeling, and advanced analytics to assess AI outputs and provide technical feedback that improves model performance.
No prior AI experience is required. Your machine learning and data science expertise are the primary qualifications for success in this role.
Responsibilities
- Evaluate AI-generated machine learning models, data analyses, and statistical solutions for accuracy and technical quality.
- Solve complex machine learning, statistical modeling, predictive analytics, and data science problems.
- Review AI-generated approaches involving data preprocessing, feature engineering, model development, training, validation, and evaluation.
- Analyze large datasets, predictive models, algorithms, and statistical methodologies to identify errors and inconsistencies.
- Evaluate model performance, experimentation results, and analytical methodologies using appropriate statistical and machine learning techniques.
- Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality.
- Provide structured technical feedback to improve AI accuracy, machine learning reasoning, and analytical capabilities.
- Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality.
Required Qualifications
- 3+ years of professional experience in Machine Learning, Data Science, or a related quantitative field.
- Strong expertise in machine learning, statistical analysis, predictive modeling, and data analytics.
- Proficiency in Python and SQL, with experience using modern data science and machine learning libraries.
- Strong understanding of machine learning algorithms, probability, statistics, model evaluation, and experimental design.
- Experience developing, evaluating, or deploying machine learning models and data science solutions.
- Ability to assess AI-generated technical solutions and identify methodological issues, errors, and edge cases.
- Excellent analytical, problem-solving, and written communication skills.
Preferred Qualifications
- Experience with PyTorch, TensorFlow, scikit-learn, XGBoost, or similar machine learning frameworks.
- Experience working with LLMs, generative AI, AI agents, or AI model evaluation.
- Experience with deep learning, natural language processing, computer vision, or recommender systems.
- Familiarity with MLOps, cloud platforms, distributed computing, Docker, or production machine learning systems.
- Experience with A/B testing, causal inference, time-series analysis, experimentation, or advanced statistical methods.
- Prior experience with AI evaluation, technical review, data annotation, or model quality assessment projects.
Compensation
- Competitive compensation of $120–$170/hour.
- Weekly payments.
- Independent contractor engagement.
Application Process
- Easy Apply on LinkedIn
- Check Email for Next Steps
- Participate in Resume Evaluation & Interview Stage