AI Summary
Join Alignerr as a Data Scientist to evaluate and improve next-generation AI systems. You will design and apply data-driven evaluation criteria, analyze patterns in AI-generated responses, and provide high-quality training data. This is a remote, hourly contract opportunity.
Key Highlights
Evaluate AI model outputs
Design data-driven evaluation criteria
Analyze patterns in AI-generated responses
Key Responsibilities
Evaluate AI model outputs for accuracy
Design and apply data-driven evaluation criteria
Analyze patterns in AI-generated responses
Create high-quality training data
Provide structured, detailed feedback
Review AI-generated code and visualizations
Technical Skills Required
Benefits & Perks
Fully remote work
Hourly contract
Potential for ongoing work and long-term contract extension
Nice to Have
Experience with deep learning frameworks
Familiarity with NLP, large language models, or AI evaluation workflows
Published research or industry experience in applied machine learning
Job Description
About The Role
We're looking for data scientists based in Germany to help train, evaluate, and improve next-generation AI systems. Your quantitative expertise will directly influence how state-of-the-art AI models reason, analyze, and communicate — making a real and lasting impact on the future of artificial intelligence.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
- Evaluate AI model outputs for accuracy, reasoning quality, and statistical soundness
- Design and apply data-driven evaluation criteria and scoring rubrics
- Analyze patterns in AI-generated responses to identify systematic errors or biases
- Create high-quality training data including prompts, solutions, and annotations in your areas of expertise
- Provide structured, detailed feedback to improve model performance across data science and analytical tasks
- Review AI-generated code, visualizations, and statistical analyses for correctness
- Work independently and asynchronously on your own schedule
Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field (MS or PhD preferred)
- Strong foundation in statistics, probability, and machine learning concepts
- Proficient in Python, R, SQL, or similar data analysis tools
- Experienced with data wrangling, exploratory data analysis, and model evaluation
- Excellent analytical thinking with sharp attention to detail
- Strong written communication in English — able to explain complex technical concepts clearly and simply
- Self-motivated and comfortable working independently
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with NLP, large language models, or AI evaluation workflows
- Published research or industry experience in applied machine learning
- Background in A/B testing, causal inference, or experimental design
- Work on cutting-edge AI projects shaping the future of technology
- Collaborate with top research labs and AI teams around the world
- Fully remote and flexible — work on your own schedule, on your terms
- Gain rare, hands-on exposure to how state-of-the-art LLMs are trained and evaluated
- Be part of a growing community of expert contributors making AI smarter and more reliable
- Potential for ongoing work and long-term contract extension
Similar Jobs
Explore other opportunities that match your interests
Business Analyst (Technology and System Implementation)
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
TEKsystems
United State
Visa Sponsorship
Relocation
Remote
Job Type
Full-time
Experience Level
Entry level
adelaide
United State
Visa Sponsorship
Relocation
Remote
Job Type
Full-time
Experience Level
Associate
Jobgether
United State