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Data Science Expert - AI Content Specialist

Job in Washington, District of Columbia, 20022, USA
Listing for: Alignerr
Full Time position
Listed on 2026-08-28
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 83000 - 165000 USD Yearly USD 83000.00 165000.00 YEAR
Job Description & How to Apply Below

Data Science Expert – AI Content Specialist About The Role

  • Organization:
    Alignerr
  • Type:
    Hourly Contract
  • Location:

    Remote
  • Commitment: 10-40 hours/week
What You'll Do
  • Design Advanced Challenges
    - Create rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
  • Author Ground-Truth Solutions
    - Develop step-by-step expert solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI responses
  • Audit AI-Generated Code
    - Evaluate code written using libraries like Scikit-Learn, PyTorch, and Tensor Flow for correctness, efficiency, and best practices
  • Refine AI Reasoning
    - Identify flaws in AI logic - such as data leakage, overfitting, or mishandled class imbalance - and provide structured feedback that improves model reasoning at a fundamental level
  • Document Failure Modes
    - Surface and record how AI models break down on complex technical topics so research teams can 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 knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
  • Able to communicate complex algorithmic concepts and statistical results clearly and concisely in writing
  • Highly precise - you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
  • Self-motivated and reliable when working independently on task-based assignments
  • No prior AI or annotation experience required
Nice to Have
  • Experience with data annotation, data quality assurance, or evaluation systems
  • Familiarity with production-level data science workflows - MLOps, CI/CD pipelines for models, or model monitoring
  • Prior work auditing or benchmarking machine learning systems
Why Join Us
  • Work directly with industry-leading AI research labs on cutting-edge model development
  • Fully remote and asynchronous - work when and where it suits you
  • Freelance autonomy with consistent, intellectually rewarding task-based work
  • Contribute to AI that will influence how advanced models reason about data science for years to come
  • Potential for ongoing work and contract extension as new projects launch
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