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 |
|---|---|---|
| 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 |