Data Science Expert - AI Content Specialist

Data Science Expert – AI Content Specialist
About the Role
What if your expertise in machine learning, statistics, and data engineering could directly influence how the world's most advanced AI systems think and reason? We're partnering with leading AI research labs to find data science experts who can stress-test, evaluate, and improve cutting-edge language models — and we need people who truly know their stuff.
This is a fully remote, flexible contract role designed for data scientists, ML engineers, and quantitative researchers who want to do meaningful, intellectually stimulating work on their own schedule.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote (Global)

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• Design Advanced Challenges — Craft rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more to expose the limits of AI reasoning

• Author Ground-Truth Solutions — Develop precise, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI responses

• Audit AI-Generated Code — Critically evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing correctness, efficiency, and best practices

- Identify Reasoning Failures — Spot and document logical errors in AI reasoning — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured, actionable feedback to improve model performance

• Identify Reasoning Failures — Spot and document logical errors in AI reasoning — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured, actionable feedback to improve model performance

• Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field

• Strong foundational knowledge across core areas: supervised/unsupervised learning, deep learning, NLP, or big data technologies (Spark, Hadoop)

• Able to communicate complex algorithmic concepts and statistical findings clearly and concisely in writing

• Highly precise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions

• Self-motivated and comfortable working independently in an asynchronous environment

- No prior AI industry experience required

• No prior AI industry experience required

• Experience with data annotation, data quality evaluation, or AI evaluation frameworks

• Familiarity with production-level ML workflows — MLOps, CI/CD for models, model monitoring

- Background in academic research or technical writing

• Background in academic research or technical writing

• Work directly with industry-leading AI models and contribute to their development at a foundational level

• Fully remote and asynchronous — work on your schedule, from anywhere in the world

• Freelance autonomy with consistent, intellectually engaging task-based work

• Collaborate with a global network of experts contributing to the frontier of AI research

• Potential for ongoing work and contract renewals as new projects launch