Data Science Expert - AI Content Specialist
Alignerr
Job Overview
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Job Description
About Alignerr
Alignerr partners with leading AI research teams to develop and train advanced AI models. This role offers the opportunity to challenge sophisticated language models across complex data science domains.
Position Overview: Data Science Expert - AI Content Specialist
This is an hourly contract position, offering 10–40 hours per week with a compensation range of $40–$80 per hour. The role is fully remote, providing excellent location-independent flexibility.
What You'll Do
- Develop Complex Problems: Design advanced data science challenges in areas like hyperparameter optimization, Bayesian inference, cross-validation strategies, and dimensionality reduction.
- Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including Python/R scripts, SQL queries, and mathematical derivations, serving as "golden responses."
- Technical Auditing: Evaluate AI-generated code (using libraries like Scikit-Learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency.
- Refine Reasoning: Identify logical fallacies in AI reasoning, such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback to improve the model's "thinking" process.
Requirements
- Advanced Degree: Masters (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a heavy emphasis on data analysis.
- Domain Expertise: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.
- Analytical Writing: Ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form.
- Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions.
- No AI experience required.
Preferred Qualifications
- Prior experience with data annotation, data quality, or evaluation systems.
- Proficiency in production-level data science workflows (e.g., MLOps, CI/CD for models).
Why Join Us
- Excellent compensation with location-independent flexibility.
- Direct engagement with industry-leading LLMs.
- Contractor advantages: high agency, agility, and international reach.
- More opportunities for contracting renewals.
Application Process
The application process typically takes 15-20 minutes and involves submitting your resume, completing a short screening, and then proceeding to project matching and onboarding. Alignerr reviews applications daily; ensure you complete your AI interview and application steps for consideration.
Key skills/competency
- Data Science
- Machine Learning
- Statistical Inference
- Python/R Programming
- SQL
- Neural Networks
- Deep Learning
- NLP
- Technical Writing
- AI Model Evaluation
How to Get Hired at Alignerr
- Research Alignerr's culture: Study their mission in building and training AI models, values, and recent news to align your application.
- Tailor your resume for data science expertise: Highlight advanced degrees, domain expertise in ML/deep learning, and analytical writing skills to match the Data Science Expert - AI Content Specialist role.
- Showcase technical problem-solving: Emphasize experience with Python/R, SQL, and mathematical derivations, relevant to creating "ground-truth solutions" for Alignerr.
- Prepare for AI model evaluation discussions: Be ready to discuss identifying logical fallacies in AI reasoning and providing structured feedback, key to Alignerr's mission.
- Demonstrate clear technical communication: Practice articulating complex algorithmic concepts and statistical results concisely, a crucial skill for an AI Content Specialist.
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