Handshake currently has 68 active AI-related job listings. The majority of these roles, 60%, are focused on data, with a further 15% in agents. Research and Engineering are the most frequent functions hiring for these positions. Recent hiring activity shows a significant increase, with 23 new AI roles posted in the last 30 days, representing a 92% rise compared to the preceding 30-day period.
Currently tracking 23 active AI roles, down 48% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Handshake currently has 65 active AI-related roles in our index. The most common open titles are: Music Producer - AI Trainer (2), Strategic Projects Lead, Coding (2), 3D Slicer Specialist - AI Trainer , AI Red Teamer, LLM Generalist, Analog Engineer - AI Trainer. Most positions are in Engineering and Research.
Handshake's active AI hiring is concentrated in: data (66%), agents (15%), application (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Handshake is hiring AI talent in: United States (22 roles), India (4 roles).
Job postings at Handshake most frequently reference: evals, synthetic data, model serving, agent orchestration, llm observability.
In the past 30 days, Handshake has posted 10 new AI-related roles. That is a -57% change versus the prior 30 days (23 → 10).
| Title | Stage | AI score |
|---|---|---|
| AI PhD Student Researcher - Fall 2026 Handshake AI is seeking a PhD Student Researcher to work on novel RLHF/GRPO pipelines, instruction-following refinements, reasoning-trace supervision, multilingual/long-horizon/domain-specific benchmarks, automatic vs. human preference studies, robustness diagnostics, active-learning loops, data value estimation, synthetic data generation, and low-resource fine-tuning strategies. The goal is to produce an archive-ready manuscript or top-tier conference submission. | Post-trainEval Gate | 9 |
| Senior Engineering Manager, Reinforcement Learning Environments (RLE) Senior Engineering Manager to lead the Reinforcement Learning Environments (RLE) team, responsible for building interactive sandboxes that simulate end-to-end workflows for frontier models. The team generates high-signal interaction data used for training and evaluating models on task completion, quality, and robustness. The role involves leading a team of engineers, owning the RLE roadmap, driving architecture for scalable systems, and ensuring reliability and data quality. |
| Post-trainEval Gate |
| 8 |
| Physics PhDs - AI Trainer Physics PhDs are needed to evaluate AI-generated content and provide feedback to improve AI's understanding of physics reasoning, proof construction, and technical problem-solving. This is a flexible, hourly contract role. | Post-train | 5 |
| Mathematics PhDs - AI Trainer This role involves Mathematics PhDs evaluating AI-generated content and providing feedback to improve AI's understanding of mathematical reasoning. It's a flexible, hourly contract position focused on content review rather than traditional AI development. | Post-train | 5 |
| LMMS Specialist - AI Trainer This role involves evaluating AI-generated music content and providing feedback to improve AI understanding of music production workflows. It requires hands-on experience with LMMS and music composition, with no prior AI technical experience needed. The work is project-based, hourly, and remote within the USA, suitable for independent contractors. | Post-train | 5 |
| Music Producer - AI Trainer This role involves evaluating AI-generated music content and providing feedback to improve AI models, leveraging experience with LMMS and music production concepts. It's a contract role focused on data annotation and quality assessment for AI training. | Post-train | 5 |