Contract

Computer Scientist

AI Training

Posted on 9/2/2025

Alignerr

Alignerr

Connects experts for AI data annotation

Compensation Overview

$15 - $60/hr

No H1B Sponsorship

Remote in USA

Remote

Candidates must be authorized to work in their country of residence.

Category
AI & Machine Learning (3)
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Required Skills
Scikit-learn
Agile
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Machine Learning
Java
C/C++
Reinforcement Learning
Requirements
  • Strong understanding of fundamental programming concepts.
  • Proficient in at least one programming language (e.g., Python, Java, C++).
  • Familiarity with data structures and algorithms.
  • Basic understanding of machine learning concepts is a plus.
  • Experience with software development methodologies (e.g., Agile).
  • Working knowledge of multiple programming languages.
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience building and deploying machine learning models.
  • Expertise in advanced machine learning techniques (e.g., deep learning, reinforcement learning, NLP).
  • Strong research background in AI/ML, evidenced by publications or projects.
  • Ability to design and implement novel algorithms and models.
  • Excellent communication skills for explaining complex technical concepts.
Responsibilities
  • Annotate and label datasets for various AI tasks such as natural language processing, computer vision, and more.
  • Analyze and assess code snippets generated by AI models, identifying errors and providing feedback for improvement.
  • Contribute to the training of AI models by providing high-quality labeled data and feedback on model performance.
  • Work independently and as part of a team with other AI professionals, data scientists, and engineers.

Alignerr is a data-annotation platform that connects subject matter experts with tasks to align generative AI models. It lets experts work remotely on their own schedules, contributing high-quality labeled data for AI researchers, developers, and companies looking to improve their systems. The platform matches tasks to qualified contributors who are paid based on hours worked, with a transparent pay structure and no minimum or maximum hourly commitments. This community-driven model supports flexible, contractor-based participation, enabling scalable data labeling from home. Alignerr’s goal is to provide high-quality annotated data to help train and refine AI models while offering a clear, predictable earnings model for contributors.

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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Simplify Jobs

Simplify's Take

What believers are saying

  • Labelbox launched Alignerr Connect marketplace in January 2026 showcasing curated experts.
  • Discord community enables knowledge sharing and project notifications among Alignerr contributors.
  • End-to-end AI data management integrates human intelligence with Labelbox's core pillars.

What critics are saying

  • 3% acceptance rate creates unsustainable vetting costs limiting scalable talent growth.
  • YouTube reviews expose low task availability and payout delays eroding trust.
  • Scale AI captures 65% LLM alignment market share, undercutting Alignerr pricing.

What makes Alignerr unique

  • Selective 3% acceptance rate attracts philosophy, logic, and AI ethics experts.
  • Cognitive labeling and ethical alignment tasks require strong logical reasoning skills.
  • Integrated with Labelbox's multi-modal platform supporting image, video, audio, text.

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Benefits

Flexible Work Hours

INACTIVE