Remote Jobs Focus: Today’s strongest opportunities combine flexible AI evaluation work, frontier-model research, applied GenAI roles in India, and two institutional health-research routes. The list below is intentionally selective: every item was checked on an official employer or ICMR page on 10 July 2026. Job listings without a stated closing date should be treated as rolling and may close when filled.
Top 3 Apply First Today
- Anyone AI — Computer Science PhD (India): best immediate match for part-time, flexible expert work alongside an academic position.
- Adaption — Research Scientist / Research Engineer: strongest frontier-research option with India explicitly included in its global-remote locations.
- ICMR Centre for Advanced Research 2026: start senior-PI and clinical-partner outreach now; the concept note requires a substantial multidisciplinary team.
1. Computer Science PhD (India) — Anyone AI
Deadline: Rolling; official listing active on 10 July 2026.
India/remote eligibility: India-based, part-time and remote with flexible hours.
Who should apply: PhD holders in computer science, AI, ML, computer vision, data science or an adjacent field who can evaluate technical AI outputs and write precise English feedback.
Why it fits: The work covers model-response assessment, advanced question creation, error identification and technical evaluation—well aligned with research supervision and AI/ML teaching.
Priority: 9/10.
Next action: Submit a focused CV plus a one-page evidence sheet highlighting PhD credentials, computer-vision publications, peer review, model evaluation and technical writing.
2. Research Scientist / Research Engineer — Adaption
Deadline: Rolling; official listing active on 10 July 2026.
India/remote eligibility: Full-time, global remote; India is explicitly listed.
Who should apply: Researchers with a PhD or equivalent research record, typically 4–5+ years of industry experience, and deep expertise in areas such as model efficiency, learning systems or real-time AI.
Why it fits: This is a genuine research-to-engineering role with scope for experimental design, implementation and publication-quality thinking. The industry-experience requirement makes it competitive.
Priority: 7.5/10.
Next action: Lead the application with one reproducible project showing measurable gains in efficiency, accuracy, latency or robustness; include code, ablations and a short technical note.
3. Senior Applied AI Researcher (India) — Articul8 AI
Deadline: Rolling; official listing active on 10 July 2026.
India/remote eligibility: India/Bengaluru, full-time; confirm current hybrid expectations during application.
Who should apply: PhD or MSc researchers with substantial applied-AI experience and strength in at least one area such as multimodal learning, reinforcement learning, model training, agentic reasoning or knowledge representation.
Why it fits: Multimodal research and production deployment connect strongly with computer vision, trustworthy AI and domain-specific systems, although the seniority and full-time format raise the transition cost.
Priority: 7/10.
Next action: Reframe two strongest papers as product-impact case studies: problem, method, evidence, failure analysis, deployment pathway and business or societal value.
4. ICMR Centre for Advanced Research (CAR) 2026
Deadline: 31 August 2026, 5:00 PM IST for the concept note.
India/remote eligibility: Regularly employed investigators at Indian medical/research institutes, universities, colleges, recognised R&D laboratories, government bodies or eligible NGOs.
Who should apply: Established multidisciplinary health-research teams led by a senior PI; ICMR expects the PI’s h-index to be at least 20 or, alternatively, multiple granted patents. AI researchers may be valuable co-investigators with clinical and public-health partners.
Why it fits: Priority areas include cancer, neurological disorders, child malnutrition, maternal and child health, diagnostics and medical education—all suitable for explainable AI and computer-vision components. Funding is ₹8 crore to under ₹15 crore for up to five years.
Priority: 8/10 as a collaborator; lower as lead unless the senior-PI threshold and infrastructure are already met.
Next action: Draft a 300-word AI work package and approach a senior clinical PI with a defined dataset, validation site, explainability plan and public-health outcome.
5. ICMR Collaborating Centre of Excellence (CCoE) 2026
Deadline: 31 July 2026, 5:00 PM IST.
India/remote eligibility: Indian public/private institutions, NGOs, medical or engineering colleges, universities and research institutes.
Who should apply: Institutional teams led by a senior PI with impactful biomedical research, demonstrated ICMR collaboration and willingness to support national health priorities on an honorary basis.
Why it fits: Engineering colleges are explicitly eligible, creating a route to formalise an AI-for-health research group and deepen clinical collaboration. This is recognition, not a funding award.
Priority: 6.5/10.
Next action: Ask the research office to audit institutional eligibility immediately and assemble evidence of health publications, ICMR links, training capacity and multidisciplinary partners.
Five-Step Application Roadmap
- Discover: Select one role and one collaboration route; avoid spreading effort across all five.
- Prepare: Build a tailored CV, publication shortlist, two project case studies and a concise value statement.
- Apply: Submit early and save the final advertisement, eligibility evidence and acknowledgement.
- Follow Up: Send one professional follow-up after 7–10 days for jobs; for grants, confirm institutional endorsement and portal completion.
- Portfolio/Collaboration: Publish a safe, non-confidential demo or technical note and approach clinical collaborators with a specific work package.
Verification note: Official pages and application routes were checked on 10 July 2026. Rolling vacancies can close without notice; recheck the employer page immediately before submitting.
Research collaboration: Dr. Ananjan Maiti welcomes relevant, well-scoped conversations around trustworthy AI, computer vision, AI for health, research methodology and applied consulting. Collaboration depends on technical fit, ethics, data access, institutional approval and availability; no outcome is guaranteed.