Remote Forward-Deployed AI Research Partner

SaidGig; New York (NY); Remote; USD 180,000 - 700,000; Full time

Benefits offered by this job

Health-insurance reimbursement

Paid time off

401(k) plan with company match

Remote-first workforce

Job summary

SaidGig is seeking a forward-deployed research partner to collaborate with enterprise AI teams. You will help identify failure modes in live workflows, design robust datasets and evaluation protocols, and run rapid experiments to improve system performance.

The role emphasizes actionable insights and cross-functional collaboration across research, product, and domain teams. The position supports a remote-first setup with full-time commitment and equity options.

Qualifications

• Master’s degree or higher in a technical field.
• Strong judgment about research signal quality and evaluation design.
• Experience designing datasets and evaluation frameworks for ML systems.
• Ability to turn ambiguous issues into structured research problems.
• Familiarity with RL environments and agentic-system evaluation.
• Clear, concise communication and actionable insights.

Responsibilities

• Partner with domain experts and client teams in enterprise AI workflows.
• Identify, formalize, and prioritize failure modes observed in real deployments.
• Design high-signal datasets and evaluation protocols addressing weaknesses.
• Run rapid experiments to test hypotheses and measure improvements.
• Produce clear, decision-focused analyses of system behavior and performance.
• Develop and benchmark agentic workflows for robustness and scalability.
• Build lightweight tools for evaluation, data curation, and fast iteration.
• Contribute to research reports, benchmarks, and related materials.

Skills

Research design

RL familiarity

Communication

Cross-team collab

Data/evaluation quality

Rapid iteration

Problem structuring

Education

Master's degree in CS/ML/AI

Tools

Evaluation tools

Job description

SaidGig is seeking a forward-deployed research partner to collaborate with enterprise AI teams. You will help identify failure modes in live workflows, design robust datasets and evaluation protocols, and run rapid experiments to improve system performance.

The role emphasizes actionable insights and cross-functional collaboration across research, product, and domain teams. The position supports a remote-first setup with full-time commitment and equity options.