This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Computer Science PhD based in India.
In this role, you will contribute directly to the advancement of cutting-edge artificial intelligence systems by applying deep academic and technical expertise in machine learning and related fields. You will work on evaluating and improving AI model behavior by analyzing outputs for correctness, reasoning quality, and real-world applicability. The position involves crafting sophisticated prompts, assessing model-generated responses, and helping identify gaps in performance across complex technical domains. You will play a key role in ensuring that AI systems are accurate, reliable, and capable of handling advanced scientific and engineering concepts. This is a flexible, remote opportunity designed for highly specialized experts who want to influence the next generation of AI technologies. The work is intellectually rigorous and directly contributes to improving the quality and safety of advanced machine learning systems. You will operate in a fast-evolving environment where research-level thinking meets applied AI development.
Accountabilities:
- Evaluate AI-generated outputs for factual accuracy, technical depth, reasoning quality, and relevance across machine learning and AI domains
- Design, craft, and answer advanced technical prompts related to AI, ML, and adjacent scientific fields
- Compare and rank multiple AI-generated responses based on correctness, completeness, clarity, and logical consistency
- Identify hallucinations, errors, inconsistencies, and weaknesses in model reasoning and provide structured feedback
- Contribute insights and evaluations that directly improve model training, alignment, and performance
- Apply deep domain expertise to assess complex topics in machine learning, statistics, optimization, and related areas
- Support continuous improvement of AI systems through high-quality analytical and written feedback
Requirements:
- PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, or a closely related field
- Strong background in machine learning concepts including model training, evaluation, optimization, and real-world deployment
- Prior experience as an ML Engineer, AI Researcher, Applied Scientist, Data Scientist, or similar technical role
- Excellent analytical reasoning skills with strong attention to detail and scientific rigor
- Ability to clearly articulate complex technical concepts in fluent written English
- Strong understanding of AI subfields such as NLP, computer vision, reinforcement learning, or data science methodologies
- Demonstrated ability to critically evaluate technical outputs and identify subtle errors or inconsistencies
- Comfortable working independently in a remote, flexible, and research-oriented environment
Benefits:
- Highly competitive compensation of USD 150 per hour
- Fully remote and flexible work arrangement
- Opportunity to directly contribute to the improvement of advanced AI systems
- Exposure to state-of-the-art machine learning research and evaluation workflows
- Flexible workload suitable for academic or professional scheduling
- Intellectual and research-driven environment focused on high-impact AI development
- Opportunity to influence model performance and alignment at scale
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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