Data Science Expert - AI Content Specialist
Alignerr · United States
- Hybrid
- Contract
- $60,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Shape AI systems by training and evaluating models.
- Design data science problems and author solutions.
- Audit AI code and refine model reasoning.
- Fully remote contract role for experienced data scientists.
- Flexible hours, meaningful, intellectually stimulating work.
About the role
Data Science Expert AI Content Specialist
About The Role
What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the world's most advanced AI systems think and reason?
We're looking for Data Science Experts to join Alignerr's network of specialists who train and evaluate cutting-edge AI models. You'll design challenging problems, write rigorous solutions, and audit AI-generated outputs — helping push the frontier of what AI can reliably do with data science.
This is a fully remote, flexible contract role built for experienced data scientists 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 data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — stress-testing AI reasoning at its limits
- Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as authoritative benchmarks for AI training
- Audit AI-Generated Code: Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing code correctness, efficiency, and best practices
- Refine AI Reasoning: Identify logical flaws in AI outputs — such as data leakage, overfitting, or mishandling of imbalanced datasets — and provide structured, actionable feedback to improve model reliability
Who You Are
- Advanced Degree: Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a related quantitative field with a strong data analysis focus
- Domain Expertise: Solid grounding in supervised and unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
- Technical Communicator: Able to explain complex algorithmic concepts and statistical results clearly and precisely in written form
- Detail-Oriented: Meticulous when reviewing code syntax, mathematical notation, and the validity of statistical conclusions
- No prior AI industry experience required — your subject-matter expertise is what matters
Nice to Have
- Experience with data annotation, data quality evaluation, or AI evaluation systems
- Familiarity with production-level data science workflows, including MLOps or CI/CD pipelines for models
Why Join Us
- Work directly with industry-leading AI models and contribute to real breakthroughs in AI capability
- Fully remote and async — work when and where it suits you
- Freelance autonomy: high agency, flexible hours, and meaningful task-based work
- Engage with a global network of top-tier researchers and domain experts
- Potential for ongoing work and contract renewal as new AI projects launch
Key skills/competency
- Data Science
- Machine Learning
- Statistics
- Data Engineering
- Python
- R
- SQL
- Deep Learning
- NLP
- AI Evaluation
Skills & topics
- Data Science Expert
- AI Content Specialist
- Machine Learning
- Statistics
- Data Engineering
- Python
- R
- SQL
- Deep Learning
- NLP
- AI Evaluation
- Remote
- Contract
How to get hired
- Tailor your resume: Highlight your advanced degree and deep expertise in data science, machine learning, and statistics. Quantify your achievements.
- Showcase technical skills: Emphasize proficiency in Python, R, SQL, and experience with libraries like Scikit-Learn, PyTorch, and TensorFlow.
- Demonstrate communication: Provide examples of how you clearly explain complex concepts and provide actionable feedback.
- Apply with confidence: Apply for the Data Science Expert AI Content Specialist role at Alignerr and detail your relevant domain knowledge.
Technical preparation
Master Python/R for data analysis and modeling.,Practice SQL for data querying and manipulation.,Review machine learning algorithms and concepts.,Familiarize with AI evaluation libraries.
Behavioral questions
Describe a complex data problem you solved.,How do you ensure accuracy in your work?,Explain a technical concept to a non-expert.,How do you manage your work on your own?
Frequently asked questions
- What is the role of a Data Science Expert AI Content Specialist at Alignerr?
- As a Data Science Expert AI Content Specialist at Alignerr, you will leverage your expertise in machine learning, statistics, and data engineering to train and evaluate cutting-edge AI models. This involves designing complex data science problems, developing rigorous ground-truth solutions, and auditing AI-generated outputs to enhance model reliability and reasoning.
- Is this a remote position for the Data Science Expert AI Content Specialist role?
- Yes, this Data Science Expert AI Content Specialist position at Alignerr is fully remote. You can work from anywhere, offering flexibility in your work location.
- What qualifications are essential for the Data Science Expert AI Content Specialist role at Alignerr?
- Essential qualifications for the Data Science Expert AI Content Specialist at Alignerr include an advanced degree (Master's or PhD) in Data Science, Statistics, Computer Science, or a related quantitative field, with a strong data analysis focus. You also need solid domain expertise in areas like supervised/unsupervised learning, deep learning, big data technologies, or NLP, and excellent technical communication skills.
- What kind of technical skills are expected for this role at Alignerr?
- For the Data Science Expert AI Content Specialist role, technical skills include developing solutions using Python/R scripts and SQL queries, and evaluating AI outputs with libraries such as Scikit-Learn, PyTorch, and TensorFlow. A strong foundation in machine learning, statistics, and potentially big data technologies or NLP is crucial.
- Does Alignerr require prior AI industry experience for this Data Science Expert role?
- No, Alignerr does not require prior AI industry experience for the Data Science Expert AI Content Specialist role. Your subject-matter expertise in data science and related quantitative fields is the primary focus.
- What are the benefits of joining Alignerr as a Data Science Expert?
- Joining Alignerr as a Data Science Expert offers the chance to work with leading AI models, contribute to significant AI breakthroughs, enjoy a fully remote and asynchronous work environment, and experience freelance autonomy with flexible hours and task-based work. You'll also connect with a global network of experts and have potential for ongoing projects.
- What is the time commitment for the Data Science Expert AI Content Specialist position?
- The Data Science Expert AI Content Specialist position at Alignerr requires a commitment of 10-40 hours per week, offering flexibility to balance your workload.