Handshake

About the Company

Handshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake's network is where career advice and discovery turn into first, second, and third jobs.

Nearly 1 million companies use Handshake to build their future workforce--from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses.

Handshake is built for where you're going, not where you've been.

Listed Jobs

Company Name

Handshake

Job Title

Red Teaming Domain Expert - AI Training (Contract)

Job Description

Job title: Red Teaming Domain Expert – AI Training (Contract) Role Summary: Independent remote contractor who designs adversarial prompts to stress‑test and uncover vulnerabilities in large language models (LLMs). Works with a global team of engineers, researchers, and safety experts to evaluate model robustness and contribute to AI safety improvements. Expectations: - 10–20 hours per week, variable commitment. - Fully remote contract position (no visa sponsorship). - Requires flexible schedule, including possible evenings or weekends. Key Responsibilities: - Craft creative, adversarial prompts and scenarios aimed at breaking AI guardrails. - Identify and bypass safety filters, restrictions, and defenses. - Explore edge cases that trigger disallowed, harmful, or incorrect outputs. - Document experiments comprehensively—methods used, outcomes, and rationale. - Review and refine adversarial content produced by fellow team members. - Collaborate with engineers, tutors, and researchers to analyze findings and strengthen defenses. - Stay updated on new jailbreak techniques, attack methods, and evolving model behaviors. - Handle potentially disturbing content (violence, explicit material, hate speech) with professional composure. Required Skills: - Hands‑on experience using multiple LLMs. - Intuitive prompt crafting and familiarity with jailbreak or evasion strategies (preferred). - Creative, adversarial problem‑solving mindset. - Clear, thoughtful written communication. - Ability to tolerate emotionally heavy or graphic material. - Curiosity, persistence, and resilience amid frequent experimental failures. - Strong ethical judgment, separating adversarial tactics from personal values. - Self‑directed, collaborative, and comfortable in feedback‑dense environments. Required Education & Certifications: - No formal degree required. - Background in creative fields (writing, visual arts, game design, improv, niche internet culture) is a plus. - Prior red‑teaming, moderation, or adversarial testing experience is extra credit. - Familiarity with safety, trust & safety, or digital security concepts is advantageous.

United states

Remote

11-12-2025

Company Name

Handshake

Job Title

Handshake AI Research Intern, Summer 2026

Job Description

**Job Title** Handshake AI Research Intern, Summer 2026 **Role Summary** Conduct focused, production‑ready research on large language models (LLMs) with a primary goal of publishing a peer‑reviewed manuscript or conference paper. Work closely with senior scientists to develop post‑training techniques, evaluation benchmarks, and data‑efficiency methods that integrate directly into Handshake’s AI infrastructure. **Expectations** - Complete a self‑directed research project from hypothesis to prototype and manuscript. - Deliver results that can be shipped into the production stack and meet publication standards. - Engage actively in weekly team meetings, code reviews, and internal presentations. **Key Responsibilities** - Design, implement, and evaluate RLHF / GRPO pipelines for instruction‑following and reasoning enhancement. - Build or extend multilingual and domain‑specific benchmarks for LLM evaluation, including automatic preference studies and robustness diagnostics. - Develop active‑learning loops, data‑value estimation methods, synthetic data generation, or low‑resource fine‑tuning strategies to improve data efficiency. - Write reproducible code in PyTorch or JAX, leveraging distributed training frameworks such as DeepSpeed. - Prepare a research manuscript targeting top conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.) and manage the submission process. **Required Skills** - Current Ph.D. student in Computer Science, Machine Learning, NLP, or related field. - Strong background in large‑scale model training, experimentation, and evaluation. - Proficiency with Python, PyTorch or JAX, distributed training toolkits. - Empirical research mindset with rigorous statistical analysis. - Clear scientific communication skills; ability to present findings in written and oral form. **Required Education & Certifications** - Ph.D. (or ongoing Ph.D. enrollment) in CS, ML, NLP, or closely related discipline. - Publication record at top-tier AI/ML conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.) preferred. - No mandatory certifications required.

San francisco, United states

On site

Fresher

22-01-2026