Data Scientist (Masters) - AI Data Trainer

Job Description

<p><h3>About The Job</h3>
<p>At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models.</p>
<ul><li>Location: Remote</li></ul>
<h3>Organization</h3>
<p>Alignerr</p>
<h3>Position</h3>
<p>Data Scientist (Masters) – AI Data Trainer</p>
<h3>Type</h3>
<p>Hourly Contract</p>
<h3>Compensation</h3>
<p>$40–$80 /hour</p>
<h3>Location</h3>
<p>Remote</p>
<h3>Commitment</h3>
<p>10–40 hours/week</p>
<h3>What You’ll Do</h3>
<ul>
<li>Develop Complex Problems: Design advanced data science challenges across domains like hyperparameter optimization, Bayesian inference, cross‑validation strategies, and dimensionality reduction.</li>
<li>Author Ground‑Truth Solutions: Create rigorous, step‑by‑step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as "golden responses."</li>
<li>Technical Auditing: Evaluate AI‑generated code (using libraries like scikit‑learn, PyTorch, or TensorFlow), data visualizations, and statistical summaries for technical accuracy and efficiency.</li>
<li>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.</li>
</ul>
<h3>Requirements</h3>
<ul>
<li>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.</li>
<li>Domain Expertise: Strong foundational knowledge in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP.</li>
<li>Analytical Writing: The ability to communicate highly technical algorithmic concepts and statistical results clearly and concisely in written form.</li>
<li>Attention to Detail: High level of precision when checking code syntax, mathematical notation, and the validity of statistical conclusions.</li>
<li>No AI experience required</li>
</ul>
<h3>Preferred</h3>
<ul>
<li>Prior experience with data annotation, data quality, or evaluation systems</li>
<li>Proficiency in production‑level data science workflows (e.g., MLOps, CI/CD for models).</li>
</ul>
<h3>Why Join Us</h3>
<ul>
<li>Excellent compensation with location‑independent flexibility.</li>
<li>Direct engagement with industry‑leading LLMs.</li>
<li>Contractor advantages: high agency, agility, and international reach.</li>
<li>More opportunities for contracting renewals.</li>
</ul>
<h3>Application Process (Takes 15‑20 min)</h3>
<ul>
<li>Submit your resume</li>
<li>Complete a short screening</li>
<li>Project matching and onboarding</li>
</ul>
<p>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</p></p>
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