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Remote Failure Analysis Engineer Jobs in San Rafael, CA

SpotOn

Staff AI Engineer

San Francisco, CA · Remote

$210K - $280K/yr

If you're looking to make an impact with heart and hustle, SpotOn is the place for you. (Remote ... failure analysis - replacing multi-day manual QA cycles with sub-30-minute automated runs. * AI ...

Kairos Power

Senior Nuclear Facility Engineer

Alameda, CA · On-site +1

$118K - $162K/yr

Participate in hazard and failure analyses (HAZOP, FMEA, FTA) and incorporate safety insights into ... the role. #LI-remote About our Benefits We know that we have some of the most talented and ...

Qcells

TPO Business Analyst

San Francisco, CA · On-site +1

$80K - $95K/yr

... solar finance, business analysis, or operations and will work across Product, Engineering ... Remote may be considered in exceptional cases. RESPONSIBILITIES * Conduct end-to-end product and ...

Q-Cells

TPO Business Analyst

San Francisco, CA · On-site +1

... solar finance, business analysis, or operations and will work across Product, Engineering ... Remote may be considered in exceptional cases. RESPONSIBILITIES: * Conduct end-to-end product and ...

WorkOS

Site Reliability Engineer

San Francisco, CA · On-site +1

$67.25 - $89.25/hr

We offer parental leave, paid-time off and fully remote working arrangements. Benefits include ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

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All JobsRemote Failure Analysis Engineer JobsRemote Failure Analysis Engineer Jobs in San Rafael, CA

Remote Failure Analysis Engineer information

See San Rafael, CA salary details

$50.7K

$103.9K

$151K

How much do remote failure analysis engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote failure analysis engineer in San Rafael, CA is $103,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,000.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Failure Analysis Engineer vs Remote Quality Engineer?

AspectRemote Failure Analysis EngineerRemote Quality Engineer
CredentialsBachelor's in Engineering, certifications in failure analysis or reliabilityBachelor's in Engineering, certifications in quality management or Six Sigma
Work EnvironmentLaboratory, technical analysis, remote troubleshootingProcess audits, quality control, remote data analysis
Industry UsageElectronics, manufacturing, aerospaceManufacturing, electronics, automotive
Search & Comparison IntentUnderstanding failure analysis roles, technical skillsQuality assurance, process improvement roles

The Remote Failure Analysis Engineer focuses on diagnosing product failures through technical analysis, often involving lab work and remote troubleshooting. In contrast, the Remote Quality Engineer emphasizes maintaining quality standards, process improvements, and data analysis. Both roles require engineering backgrounds and certifications but serve different functions within manufacturing and electronics industries.

How much does a failure analysis engineer make at AMD?

A failure analysis engineer at AMD typically earns between $80,000 and $120,000 annually, depending on experience, location, and level of expertise. The role often requires knowledge of semiconductor testing, failure analysis tools, and relevant certifications.

What is the highest paying job for EE?

In electrical engineering, high-paying roles include senior design engineers, engineering managers, and specialized fields such as power systems or semiconductor engineering. These positions often require advanced skills, certifications, and experience, and can offer salaries significantly above the industry average.

What engineers make $300,000 a year?

Senior failure analysis engineers, especially those with extensive experience, specialized skills in failure diagnostics, and certifications like Six Sigma or ISO, can earn $300,000 or more annually. These roles often require advanced knowledge of materials, electronics, or manufacturing processes and may involve leadership responsibilities or working in high-demand industries such as aerospace or semiconductor manufacturing.

What engineer makes $500,000 a year?

A Remote Failure Analysis Engineer typically does not earn $500,000 annually; such high salaries are more common in executive or specialized roles in technology or finance. Engineers in this field usually have advanced skills in electronics, failure diagnostics, and data analysis, with salaries generally ranging from $80,000 to $150,000 depending on experience and location.
Remote Failure Analysis Engineer jobs near you
Infographic showing various Remote Failure Analysis Engineer job openings in San Rafael, CA as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $103,868 per year, or $49.9 per hour.

Data Scientist (Part-Time | Remote | $100 -$120/hr )

Call For Referral

San Francisco, CA • Remote

$100 - $120/hr

Part-time

Posted 26 days ago

Job description

Data Scientist (Part-Time | Remote | $100 –$120/hr )

This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100.00/hr - $120.00/hr

Helping AI Startups Hire 0→1 Founding Engineers & Product Talent | Backend & Infra | US & Europe

Data Scientist (AI Task Evaluation & Statistical Analysis Specialist)

Hourly Contract | Part-Time Remote | $100 –$120 per hour

1. About the Role

Mercor is partnering with a leading AI research lab to hire experienced Data Scientists specializing in AI task evaluation and statistical analysis.

In this role, you will conduct comprehensive failure analysis on AI agent performance across finance-sector tasks — identifying systemic patterns, diagnosing performance bottlenecks, and improving model evaluation frameworks.

You’ll work closely with AI engineers and research analysts to transform raw evaluation data into actionable insights, strengthening the quality, fairness, and reliability of large-scale AI systems.

2. Key Responsibilities

  • Statistical Failure Analysis: Identify recurring patterns in AI agent failures across task components (prompts, rubrics, file types, tags, etc.).
  • Root Cause Analysis: Determine whether issues stem from task design, rubric clarity, file complexity, or agent limitations.
  • Dimensional Analysis: Examine performance variations across finance sub-domains, file structures, and evaluation criteria.
  • Visualization & Reporting: Build dashboards and analytical reports that highlight edge cases, performance clusters, and opportunities for improvement.
  • Framework Enhancement: Recommend refinements to rubric design, evaluation metrics, and task structures based on empirical findings.
  • Stakeholder Communication: Present key insights to data labeling teams, ML engineers, and research collaborators.

3. Required Qualifications

  • Strong foundation in statistical analysis, hypothesis testing, and pattern recognition.
  • Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis.
  • Hands‑on experience with exploratory data analysis (EDA) and feature interpretation.
  • Understanding of AI/ML evaluation methodologies and LLM performance metrics.
  • Skilled in using Excel, SQL, and data visualization tools (e.g., Tableau, Looker).

4. Preferred Qualifications

  • Experience with AI/ML model evaluation or quality assurance pipelines.
  • Background in finance or interest in learning financial domain structures.
  • Familiarity with benchmark datasets, failure mode analysis, and evaluation frameworks.
  • 2–4 years of relevant professional experience in data science, analytics, or applied statistics.

5. More About the Opportunity

  • Commitment: Part‑time, 20–25 hours/week
  • Schedule: Fully remote and asynchronous — work on your own time
  • Duration: 1–2 months, with strong potential for extension
  • Start Date: Immediate

6. Compensation & Contract Terms

  • Hourly Rate: $100–$120/hour (based on experience and region)
  • Payments: Weekly via Stripe Connect for approved work

⚡ PS: Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity. ⚡

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