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Compensation Benchmarking Jobs in Renton, WA (NOW HIRING)

Gradial

Applied AI Engineer

Seattle, WA · On-site

$130K - $220K/yr

Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks ... Compensation The salary range for this position is $130,000 - $220,000 annually . Final ...

Cushman & Wakefield

Sr. Project Designer

Seattle, WA

$75K/yr

... benchmarking to maximize design outcomes and occupant satisfaction Cushman & Wakefield also ... The compensation that will be offered to the successful candidate will depend on factors such as ...

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Compensation Benchmarking information

See Renton, WA salary details

$37.1K

$82.3K

$127.1K

How much do compensation benchmarking jobs pay per year?

As of Jul 15, 2026, the average yearly pay for compensation benchmarking in Renton, WA is $82,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $95,000.00 per year, depending on experience, location, and employer.

What is the difference between Compensation Benchmarking vs Compensation Analyst?

AspectCompensation BenchmarkingCompensation Analyst
Primary FocusComparing industry salary data across roles and regionsAnalyzing internal compensation data and making recommendations
ResponsibilitiesGathering market data, identifying trends, setting pay structuresData analysis, report creation, policy development
Required SkillsResearch, data collection, industry knowledgeData analysis, Excel, HR systems

Compensation Benchmarking involves gathering and comparing salary data across industries to inform pay strategies, while Compensation Analysts focus on analyzing internal data to develop compensation policies. Both roles require strong analytical skills, but benchmarking emphasizes external market research, whereas analysts work primarily with internal data.

What job categories do people searching Compensation Benchmarking jobs in Renton, WA look for? The top searched job categories for Compensation Benchmarking jobs in Renton, WA are:
Compensation Benchmarking jobs near you

Applied AI Engineer

Gradial

Seattle, WA • On-site

$130K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

The Role

We're looking for an Applied AI Engineer to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI can be practically applied to solve real user problems.

You'll collaborate across product, research, and engineering to design agents that reason, interact with environments and evolve through feedback. Ideal candidates bring curiosity, a love of ambiguous problems, and hands-on experience applying LLMs in production.

What You'll Own

  • Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations.
  • Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems.
  • Design modular frameworks for tools, memory, and evaluators to enable continuous learning and improvement of agents.
  • Develop data pipelines to collect, transform, and annotate real-world usage data for SFT and RL training.
  • Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks.
  • Partner with customers and internal stakeholders to understand edge cases and align AI behaviors with user expectations.

What We're Looking For

  • 4+ years of software engineering experience, with at least a year working directly on AI/ML-powered applications. 
  • Strong fluency in AI tooling (e.g. OpenAI APIs, Anthropic APIs). 
  • Practical understanding of LLMs, prompt engineering and agentic architectures.
  • Experience building production systems that integrate external environments - code execution, browser automation or API orchestration.
  • High degree of ownership and comfort in experimental, fast-moving environments.

Nice to Have

  • Familiarity with benchmarks like SWE-bench or evaluation strategies for tool-using agents.
  • Exposure to customer-facing roles or user research for AI product development.
  • Background in reinforcement learning or data-centric AI approaches.

Compensation

The salary range for this position is $130,000 - $220,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

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