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alignerr

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alignerr 2.3(113)

Anywhere · Remote · Oct 6

Unknown · San Francisco, US

4 open roles0 posted in 7d4 in 30d

Work-life balance 3.0Compensation & benefits 2.3Culture & values 1.8

Hiring: Engineering

What employees say

+ Competitive pay and compensation. Timely payout

− Irregular work and project availability. Highly invasive projects.

More reviews on the company profile.

Interview experience · Senior Software Engineer

Asks about ur experience, more of experience focused. was asked about a specific project and end to end question on that. The problems I faced etc etc. it was okayish

Easy difficulty · India · 1 reports

More interview insights

Job description

Remote

Overview

Data Science Expert — AI Content Specialist

Responsibilities

Design Advanced Challenges — Create complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as authoritative reference responses
Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices
Sharpen AI Reasoning — Identify logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback that directly improves how AI models think

Qualifications

Currently pursuing or holding 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, big data technologies (Spark/Hadoop), or NLP
Able to communicate complex algorithmic and statistical concepts clearly and concisely in writing
Precise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions
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, including MLOps or CI/CD for models
Hands-on experience deploying or monitoring models in real-world environments
Work directly with industry-leading AI systems and contribute to research that shapes the future of machine intelligence
Fully remote and async — work on your own schedule, from anywhere
Freelance flexibility with the consistency of ongoing, meaningful project work
High-agency contracting with opportunities for project renewals and expanded engagement
Be part of a global expert network working alongside top AI research labs

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Job application FAQ

Last updated 13 October 2026

How do I apply for Data Science Expert - AI Content Specialist at alignerr?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. alignerr may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this Data Science Expert - AI Content Specialist role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is Data Science Expert - AI Content Specialist remote or on-site in Anywhere?: This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
What skills matter for this Data Science Expert - AI Content Specialist role at alignerr?: Key skills for this role include Remote. Upload a resume to see which requirements you already meet and which are gaps.