Data Science Expert – AI Content Specialist About the Role What if your data science expertise could directly shape how the world's most advanced AI models reason, code, and solve problems?
Data Scientist
Brazil, Germany, India, United States
Up to $100/hr
May 21, 2026
Job description
SME Careers is seeking experienced Data Scientists to contribute expertise toward improving advanced AI systems on analytical reasoning, machine learning, and quantitative problem-solving tasks.
This fully remote contractor role focuses on reviewing, evaluating, and improving AI-generated analytical reasoning, code, statistical analysis, and machine learning outputs across a wide range of real-world data science scenarios.
Contributors will help improve how AI systems understand and communicate:
- Statistical reasoning
- Machine learning workflows
- Data analysis methodologies
- Experimental design
- Predictive modeling
- Quantitative problem-solving
This is an expert network opportunity. While there may not be an immediate active project, qualified candidates may be prioritized for future assignments and ongoing AI training initiatives.
Key Responsibilities
Review AI-generated data science solutions for:
- Technical accuracy
- Statistical correctness
- Modeling quality
- Logical consistency
- Clarity of explanation
Evaluate analytical workflows involving:
- Machine learning
- Statistical analysis
- Experimental design
- Data modeling
- SQL analysis
- Predictive analytics
- Model evaluation
Identify:
- Statistical errors
- Weak modeling decisions
- Incorrect assumptions
- Faulty reasoning
- Methodological flaws
Create and refine:
- AI training prompts
- Quantitative explanations
- Model solutions
- Analytical reasoning tasks
Rank and compare AI-generated responses based on:
- Correctness
- Statistical rigor
- Modeling quality
- Communication clarity
Test AI systems for:
- Inaccuracies
- Biases
- Weak analytical reasoning
- Reliability issues
Required Qualifications
Bachelor’s degree or higher in:
- Data Science
- Computer Science
- Statistics
- Mathematics
- Related quantitative field
Minimum 5 years of professional experience as:
- Data Scientist
- Machine Learning Engineer
- Quantitative Analyst
- Similar analytical role
Strong proficiency in:
- Python
- SQL
- Machine learning workflows
- Statistical analysis
Experience with:
- pandas
- NumPy
- scikit-learn
- Related data science tooling
Strong background in:
- Statistics
- Experimental design
- Applied probability
- Controlled experimentation
Hands-on experience building and deploying machine learning models in production or business environments
Experience working with:
- Large datasets
- Data warehouses
- Data lakes
- Analytical dashboards
Excellent written and verbal communication skills with minimum C1 English proficiency
Strong attention to detail and focus on reproducibility and evaluation quality
Preferred Qualifications
- Experience with:
- AI training
- AI data annotation
- AI-generated analytical review
- RLHF
- Model evaluation workflows
Skills & Technologies
- Data Science
- Machine Learning
- Python
- SQL
- Statistics
- Scikit-learn
- NumPy
- pandas
- Model Evaluation
- Experimental Design
- Predictive Modeling
- Data Analysis
- Research
- Quantitative Reasoning
Work Details
- Remote contract role
- Flexible schedule
- Weekly payments after approved work
- Referral bonus opportunities available
About SME Careers
SME Careers is an AI Data Services company and subsidiary of SuperAnnotate focused on helping leading AI labs improve advanced AI systems using real-world analytical and quantitative expertise.
Contributors help shape the future of AI by improving machine learning reasoning, statistical analysis, and advanced data science problem-solving.
Apply now
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Remote contract opportunity for experienced R engineers and data professionals to evaluate AI-generated analytical solutions, create R-focused training content, and improve advanced AI systems. This role requires strong R programming and statistical skills, with flexible remote work and weekly payments.
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