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Python Engineer - AI Data Trainer

LabelboxLabelbox·Artificial Intelligence / Data Annotation

Compensation

$60.00 - $90.00/hr

Apply effort

~6 min

Lever

Posted

179 days

01

About the role

Python Developer - $90/hr Remote - Alignerr

- Location: Remote
About the job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
Organization: Alignerr Position: Python Developer Type: Hourly Contract Compensation: $60–$90 /hour Location: Remote Commitment: 10–40 hours/week
Role Responsibilities (Training support will be provided)
- Review and evaluate AI-generated Python code for correctness, efficiency, and adherence to best practices.
- Solve complex algorithmic challenges and develop high-quality Python solutions.
- Provide clear, human-readable explanations for code logic and problem-solving strategies.
- Identify and flag edge cases, bugs, or ambiguities in AI responses.
Requirements
- Bachelor's or better in Computer Science or a related technical field.
- Deep expertise in Python, including modern frameworks (Django, Flask, FastAPI) and advanced language features.
- 3-5+ years of professional experience writing production-level Python code.
- Exceptional written communication skills to explain abstract technical concepts.
Preferred:
- Prior experience with data annotation, RLHF, or evaluation systems.
Application Process (Takes 15-20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
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Aplyr's read

Labelbox is a cutting-edge data training platform focused on enhancing AI capabilities through efficient data annotation. Ideal for tech professionals passionate about AI and machine learning.

Synthesized from recent postings & public sources

What's promising

  • Labelbox offers a robust platform that significantly accelerates AI model training.
  • The company is at the forefront of AI data annotation, a rapidly growing field.
  • Recent roles indicate a strong focus on diverse AI applications and research.

What to watch

  • The niche focus on data annotation may limit broader tech career opportunities.
  • Highly specialized roles might require advanced expertise in AI and machine learning.
  • Potential candidates may face intense competition due to the company's innovative reputation.

Why Labelbox

  • Labelbox uniquely integrates data annotation with AI model improvement.
  • The company emphasizes a forward-deployed engineering approach, embedding engineers directly with clients.
  • Its platform is designed to streamline complex data labeling processes efficiently.

Aplyr’s read is generated by AI from public sources. Was it useful?

03

About Labelbox

Labelbox is a data training platform that enables organizations to build and manage high-quality training datasets for machine learning applications. By streamlining the data labeling process, Labelbox empowers teams to accelerate their AI initiatives and improve model performance.

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