Software Engineer (AI Training & Evaluation)

Crossing Hurdles; India; On-site; INR 4,766,444 - 7,626,310; Part time

Benefits offered by this job

Flexible schedule

Work on frontier AI projects

Merit-based earnings

Job summary

Crossing Hurdles is searching for an Advanced AI Data Engineer proficient in Python and Docker. You'll work remotely on AI benchmarking and tackle complex engineering challenges.

This role offers a flexible schedule, allowing 10 to 60 hours per week, and opens opportunities for long-term collaboration with competitive earnings based on performance.

Qualifications

• Strong hands-on experience with Python and Docker.
• Comfortable working entirely from Linux command line.
• Excellent debugging and analytical problem-solving skills.

Responsibilities

• Debug and validate engineering workflows inside Linux environments.
• Build and troubleshoot applications in Docker containers.
• Investigate multi-step backend issues and identify causes.

Skills

Proficiency in Python

Experience with Docker

Linux command line

Debugging skills

Analytical problem-solving

Job description

Crossing Hurdles is a global recruitment firm partnering with a leading AI company building next-generation evaluation systems that help train and benchmark frontier AI models.

Quick Snapshot

Role: Advanced AI Data Engineer (Python + Docker)

Compensation: Competitive fixed per-task payouts

Location: Remote (Global)

Commitment: 10 - 60 hours/week

Experience: Strong hands-on experience with Python, Docker, and Linux environments

Focus: AI benchmarking, containerized environments, backend debugging, and technical problem solving

What Will You Be Doing

• Debug and validate complex engineering workflows inside Linux-based terminal environments
• Build, configure, and troubleshoot applications running in Docker containers
• Investigate multi-step backend issues and identify root causes with minimal guidance
• Execute and evaluate technical workflows designed to benchmark frontier AI systems
• Work on challenging engineering tasks that require structured reasoning and production-level debugging skills

What we're looking for:

• Production-level proficiency in Python
• Strong hands-on experience with Docker (building, running, and debugging containers)
• Comfortable working entirely from the Linux command line
• Excellent debugging and analytical problem-solving skills
• Availability of at least 10 hours per week

Why You Should Consider

• Work on frontier AI : Contribute to projects that help evaluate and improve the capabilities of state-of-the-art AI models
• Technical challenges : Solve real engineering problems instead of repetitive annotation work
• Flexible schedule : Work remotely and choose your own hours
• Long-term opportunity : Consistent work available for high-performing contributors
• Merit-based earnings : High-quality and efficient work unlocks greater earning potential