Data Science Expert - AI Content Specialist
Alignerr · France
- Hybrid
- Contract
- $60,000 / year
- France
Job highlights
- Improve AI models by testing and evaluating them.
- Craft complex data science problems and solutions.
- Audit AI-generated code for best practices.
- Refine AI reasoning by identifying logical failures.
- Work remotely with flexible hours on impactful projects.
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: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What 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 Expert
- AI Content Specialist
- Machine Learning
- Statistics
- Python
- R
- SQL
- Data Leakage
- Overfitting
- Bayesian Inference
Skills & topics
- Data Science
- AI
- Machine Learning
- Statistics
- Python
- R
- SQL
- Quantitative Research
- Content Specialist
- Remote
How to get hired
- Tailor your resume: Highlight expertise in machine learning, statistics, and Python/R.
- Showcase quantitative skills: Detail experience with complex data science challenges and solutions.
- Emphasize attention to detail: Provide examples of catching errors in code or math.
- Address remote work: Demonstrate self-direction and asynchronous communication abilities.
- Highlight advanced degrees: Mention Master's or PhD in relevant quantitative fields.
Technical preparation
Master Python/R for data analysis and scripting.,Review ML concepts: supervised, unsupervised, deep learning.,Practice writing SQL queries for data manipulation.,Understand statistical concepts: inference, validation, Bayesian.
Behavioral questions
Describe a complex data problem you solved.,How do you ensure accuracy in technical writing?,Give an example of catching a subtle error.,How do you manage independent, asynchronous work?
Frequently asked questions
- What kind of technical skills are essential for the Data Science Expert AI Content Specialist role at Alignerr?
- For the Data Science Expert AI Content Specialist role at Alignerr, strong foundational expertise in supervised/unsupervised learning, deep learning, statistical inference, or big data technologies like Spark and Hadoop is essential. You should also be proficient in Python and/or R for scripting and mathematical derivations, and understand concepts like hyperparameter optimization, Bayesian inference, and cross-validation. Familiarity with libraries such as Scikit-Learn, PyTorch, and TensorFlow is also beneficial for auditing AI-generated code.
- How does Alignerr support remote work for their Data Science Expert AI Content Specialist positions?
- Alignerr offers fully remote and flexible contract roles for their Data Science Expert AI Content Specialist positions. This means you can set your own hours and work from anywhere, with a commitment ranging from 10 to 40 hours per week. The work is designed for independent tasks and asynchronous collaboration, providing freelance autonomy.
- What are the key responsibilities of an AI Content Specialist at Alignerr?
- As an AI Content Specialist at Alignerr, your key responsibilities include designing complex data science challenges, authoring gold-standard solutions with Python/R scripts and mathematical derivations, auditing AI-generated code for correctness and efficiency, refining AI model reasoning by identifying logical failures, and documenting how AI reasoning breaks down to improve model performance.
- Does Alignerr require prior AI or data annotation experience for the Data Science Expert AI Content Specialist role?
- No, Alignerr explicitly states that prior AI or annotation experience is not required for the Data Science Expert AI Content Specialist role. They are looking for individuals with strong data science and quantitative research backgrounds who can bring their expertise to evaluate and improve AI models. However, experience in these areas is considered a 'nice to have'.
- What academic qualifications are preferred for the Data Science Expert AI Content Specialist position at Alignerr?
- Alignerr prefers candidates who hold or are pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field for the Data Science Expert AI Content Specialist position. This academic background ensures a strong foundation in the necessary theoretical and practical aspects of data science and quantitative research.