We are looking for experienced professionals to support LLM model training through real-world coding tasks, security engineering, and benchmark development. The ideal candidates will have hands-on experience with Widesearch, Tau-Bench 3, Terminal-Bench 4, Harbor tasks, SWE, Deep SWE Bench, and LLM autoresearch capabilities.

- Security Engineer / Application Security Reviewer
- GCP / Cloud Security Engineer
- Security QA / Benchmark Lead

Qualifications
- Proficiency in programming languages
- Experience creating task for Taubench 3 or Terminal 4 task a must
- Experience in machine learning and deep learning models
- Strong problem-solving and analytical skills
- Ability to work independently and remotely

- Excellent communication skills
- Minimum 4 years of relevant professional experience.
- Strong programming skills and experience creating tasks for Tau-Bench 3 or Terminal-Bench 4.




- Experience with machine learning, deep learning, and LLM evaluation.
- Knowledge of application security, cloud security, or security testing and benchmarking, depending on the role.
- Solid analytical, problem-solving, and communication skills.
- Ability to work independently in a remote environment.
- Engagement: Remote, temporary contract
- Duration: 3 months, through the end of December
- Availability: 6 hours per business day, Monday to Friday, excluding holidays
- Assessment: Trial Task (TGT), followed by production deployment upon successful completion
- Billing: Hourly, based on actual effort, with effort tracking and task-level reporting

📌 Coding Model Training (India)
🏢 XLAIRS
📍 India