Data Science Expert - AI Content Specialist
Alignerr · France
- Hybrid
- Contract
- $80,000 / year
- France
Job highlights
- Shape advanced AI systems by testing models.
- Develop Python/R scripts and SQL queries.
- Audit AI-generated code for correctness.
- Refine AI model reasoning and logic.
- Fully remote, flexible contract role.
About the role
Data Science Expert AI Content Specialist (AI Training)
What if your deep knowledge of machine learning and statistics could directly shape how the world's most advanced AI systems think and reason? We're looking for Data Science Experts to stress-test, evaluate, and improve cutting-edge AI models — exposing their blind spots, correcting their reasoning, and setting the gold standard for technical accuracy.
This is a fully remote, flexible contract role built for experienced data scientists and quantitative researchers who want meaningful, intellectually stimulating work on their own schedule.
Organization
AlignerrType
Hourly ContractLocation
RemoteCommitment
10–40 hours/weekWhat You'll Do
- Design Advanced Challenges — Craft complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
- Author Gold-Standard Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers
- Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices
- Refine Model Reasoning — Identify logical failures such as data leakage, overfitting, and improper handling of imbalanced datasets, then provide structured feedback that directly improves how AI models think
- Document Failure Modes — Systematically record where and how AI reasoning breaks down to help research teams harden model performance
Who You Are
- Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
- Strong foundational expertise in supervised and unsupervised learning, deep learning, statistical inference, or big data technologies (Spark, Hadoop)
- Able to communicate complex algorithmic concepts and statistical results clearly in writing
- Exceptionally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
- Self-directed and comfortable working asynchronously on independent tasks
- No prior AI or annotation experience required
Nice to Have
- Experience with data annotation, data quality evaluation, or AI evaluation pipelines
- Familiarity with production-level data science workflows including MLOps or CI/CD for models
- Background in NLP, computer vision, or time-series analysis
Why Join Us
- Work directly with industry-leading AI research labs on cutting-edge model development
- Fully remote and flexible — set your own hours and work from anywhere
- Freelance autonomy with the substance of high-impact, technically demanding work
- Engage with the most advanced language models in existence and influence their development
- Potential for ongoing work and contract extension as new projects launch
Key skills/competency
- Data Science
- Machine Learning
- Statistics
- Python
- R
- SQL
- AI
- Deep Learning
- Data Annotation
- Model Evaluation
Skills & topics
- Data Science
- Machine Learning
- AI
- Statistics
- Python
- R
- SQL
- Deep Learning
- Quantitative Research
- Model Evaluation
- Data Annotation
- AI Training
- Contract
- Remote
How to get hired
- Tailor your resume: Highlight machine learning, statistical inference, and Python/R experience for this Data Science Expert role.
- Showcase your quantitative skills: Emphasize advanced data science problem-solving and rigorous solution development in your application.
- Demonstrate detail-orientation: Provide examples of catching errors in code, math, or statistical conclusions.
- Highlight remote work ability: Mention your experience with asynchronous and independent work to Alignerr.
- Prepare for technical questions: Be ready to discuss your approach to auditing AI code and refining model reasoning.
Technical preparation
Master Python/R for data science tasks.,Solidify SQL for data querying.,Practice identifying model weaknesses.,Review deep learning concepts.
Behavioral questions
Describe a complex problem you solved.,How do you ensure accuracy in your work?,How do you communicate technical findings clearly?,Explain handling tasks independently.
Frequently asked questions
- What are the core responsibilities of a Data Science Expert AI Content Specialist at Alignerr?
- As a Data Science Expert AI Content Specialist at Alignerr, you will design data science challenges, author gold-standard solutions using Python/R and SQL, audit AI-generated code with libraries like Scikit-Learn, PyTorch, and TensorFlow, refine AI model reasoning by identifying logical failures, and document failure modes to improve AI performance.
- What qualifications are essential for the Data Science Expert role at Alignerr?
- Essential qualifications include holding or pursuing a Master's or PhD in a quantitative field like Data Science or Statistics, strong foundational expertise in machine learning (supervised/unsupervised, deep learning), statistical inference, or big data technologies, and excellent written communication skills for complex concepts.
- Is prior AI or annotation experience mandatory for this Alignerr Data Science Expert position?
- No, prior AI or annotation experience is not required for this Data Science Expert role at Alignerr. The company values strong foundational data science and quantitative research skills, providing opportunities to work with cutting-edge AI models without prior specific AI experience.
- Can I set my own hours for the Data Science Expert AI Content Specialist role at Alignerr?
- Yes, the Data Science Expert AI Content Specialist role at Alignerr is described as fully remote and flexible, allowing you to set your own hours. The commitment is listed as 10-40 hours per week, offering significant autonomy.
- What kind of technical skills are needed to excel as a Data Science Expert at Alignerr?
- You'll need expertise in areas like hyperparameter optimization, Bayesian inference, cross-validation, dimensionality reduction, Python/R scripting, SQL, and experience with libraries such as Scikit-Learn, PyTorch, and TensorFlow. A strong understanding of statistical concepts and identifying logical failures in models is also crucial.
- How does Alignerr ensure the quality of AI models with Data Science Experts?
- Alignerr utilizes Data Science Experts to stress-test, evaluate, and improve AI models. This involves crafting complex challenges, developing rigorous solutions, auditing AI-generated code, refining model reasoning by identifying failures like data leakage or overfitting, and systematically documenting where AI reasoning breaks down.
- What is the employment type for the Data Science Expert AI Content Specialist position at Alignerr?
- The employment type for the Data Science Expert AI Content Specialist position at Alignerr is an Hourly Contract role.