
AI Engineer – Contractor
Posted Sep 8

Posted Sep 8
This is a fully remote position, open to applicants in India.
• Create and enhance prompts for tasks related to classification and extraction.
• Conduct structured evaluation cycles that focus on accuracy, error analysis, and iterations.
• Develop datasets for testing and validation purposes.
• Analyze outputs from real-world usage, including logs, SQLite data, and structured results.
• Write Python scripts for testing, scoring, and comparison tasks.
• Identify patterns of failure and suggest improvements.
• Validate system performance within iOS simulation environments.
• Clearly and systematically document findings.
• Engage directly with AI systems that are powering a product ready for market launch.
• Influence tangible product decisions and deliver features to users.
• Opportunity to expand responsibilities across product quality and system design.
• Currently enrolled in a Master’s program in Computer Science, AI/ML, Data Science, or a related discipline, with a Bachelor’s degree in Computer Science.
• Proven experience in shipping at least one production-quality mobile application.
• Strong expertise in React Native, Expo, and the iOS ecosystem.
• Proficient in Python for scripting and data validation tasks.
• Experience with APIs and local databases (SQLite or similar).
• Excellent problem-solving and debugging abilities.
• Background or formal training in LLMs and prompt engineering.
• Strong and proactive communication skills.
• Availability for a full-time (or near full-time) internship.
• Exceptional oral and written communication capabilities.
• Ability to analyze results and iterate in a systematic manner.
• Work timing availability: 7:30 PM IST to 4:30 AM IST, or potentially 3 PM to 12 AM IST with a half-day overlap with US teams.
• Employees have the flexibility to work remotely.
• Full-time (or near full-time) availability is required.
• Flexible working hours with an option for a half-day overlap with US teams.
Alzheimer's Association®
Capital One
Capital One
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