1

Big Data Machine Learning Qa Test Engineer Jobs

QA/Test Engineer

$60 - $90/hr

We are seeking experienced QA and Test Engineers to ensure every benchmark is reliable ... Experience evaluating AI systems, machine learning models, or AI-generated outputs is preferred.

QA Test Engineer

Ashburn, VA · On-site

$125 - $150/hr

Back QA Test Engineer Application Development Ashburn , Virginia Jul 27, 2026 QA Test Engineer ... Support test strategy, test data, test scripts, and release artifacts for development and ...

QA/Test Engineer

Herndon, VA · Remote

$110K - $130K/yr

These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies Job Summary: QA / Test Engineers on the ARES production ...

QA/Test Engineer

Middletown, RI · On-site

$41 - $56/hr

Responsibilities This position requires a Quality Assurance QA/Test Engineer with Software QA/Test ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

QA/Test Engineer

Arlington, VA · On-site

$110K - $120K/yr

The QA / Test Engineer will collaborate closely with developers, product owners, and other stakeholders to validate requirements and user stories, identify defects, and promote best-in-class QA ...

Quality Assurance Test Engineer

Boise, ID · On-site

$39.25 - $53.50/hr

Quality Assurance Test Engineer Location: Boise, ID Key Responsibilities * Design, develop, and ... Write and execute complex SQL queries (Oracle & MSSQL) for data validation and backend testing.

QA Test Engineer

Boise, ID · On-site

$80 - $100/hr

... QA Test Engineer to own quality across our IoT device ecosystem -- from firmware on the device to ... If you love digging into hardware‑software boundaries, tracing data end‑to‑end, and building ...

QA / Test Engineer

Washington, DC · On-site

$46.75 - $63.75/hr

Position is subject to contract award*3 professional references requiredPosition DescriptionThe QA/Test Engineer ensures the quality and reliability of system releases through structured testing and ...

QA Test Enginner

Dallas, TX · On-site

$41 - $56/hr

Create and execute test cases with test data and documents results for all testing phases ... Conduct test case reviews with Software Engineers and Development Managers * Create QA time ...

QA Test Engineer

Reston, VA · On-site

$43 - $58.75/hr

Validate upgrade paths, persisted-data compatibility, and offline/reconnect behavior ... QA or Test Engineering role supporting release of production web apps. * Hands-on Cypress skills ...

QA Test Engineer-POS

Ann Arbor, MI · On-site

$33 - $45/hr

QA Test Engineer-POS Pay Rate: $33-$45/hour Qualifications * Bachelor s degree in Computer Science ... Experience writing SQL queries for test data preparation and data validation. * Nice to have:

The Brilent team brings together deep experience in machine learning, and data science from leading ... We are building the next-generation, big data talent platform that aims to revolutionize the hiring ...

QA/Test Engineer, Senior

Herndon, VA · On-site

$100 - $125/hr

Degree requirement can be met with four years of hands on experience in a QA/Test engineer or similar full time position * Ability to validate software requirements through multiple forms of test ...

New

next page

Showing results 1-20

Big Data Machine Learning Qa Test Engineer information

See salary details

$15

$62

$88

How much do big data machine learning qa test engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for big data machine learning qa test engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What are popular job titles related to Big Data Machine Learning Qa Test Engineer jobs?

For Big Data Machine Learning Qa Test Engineer jobs, the most frequently searched job titles are:

Infographic showing various Big Data Machine Learning Qa Test Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

$60 - $90/hr

Part-time

Re-posted 12 days ago


Job description

This role is for one of our clients
Compensation: $60-$90 per hour
Join a pioneering AI initiative focused on building the next generation of evaluation benchmarks for frontier AI models. We are seeking experienced QA and Test Engineers to ensure every benchmark is reliable, reproducible, and accurately measures real AI capabilities.
In this role, you will review complex, multi-step evaluation tasks, validate their correctness, identify edge cases, and strengthen testing methodologies before benchmarks are deployed. You'll collaborate closely with AI researchers and task authors to improve evaluation quality, eliminate ambiguity, and ensure benchmark integrity.
This is a fully remote, full-time engagement requiring approximately 35 hours per week.
Requirements
Key Responsibilities
  • Design comprehensive test cases that validate evaluation tasks, including complex edge cases and unexpected scenarios.
  • Review benchmark tasks and reference solutions to identify ambiguity, inconsistencies, missing requirements, and grading gaps.
  • Debug task environments and Python-based evaluation scripts to ensure reliable execution and accurate results.
  • Develop repeatable quality assurance processes, validation checklists, and testing frameworks for benchmark creation.
  • Identify potential shortcuts, exploits, or weaknesses that could compromise evaluation accuracy or benchmark integrity.
  • Collaborate with AI researchers, engineers, and task authors to improve task quality, reproducibility, and technical rigor.
Required Qualifications
  • Master's degree, PhD, or equivalent practical experience in a STEM discipline involving software engineering, research, or advanced technical problem solving.
  • Minimum 1 year of professional experience in Quality Assurance, Test Engineering, Software Engineering, Research Engineering, or a related technical field with strong quality ownership.
  • Proven experience designing test cases, validating complex software systems, and debugging end-to-end workflows.
  • Strong proficiency in Python and Git, with the ability to troubleshoot unfamiliar codebases and technical environments.
  • Excellent analytical thinking, problem-solving skills, and exceptional attention to detail.
  • Experience documenting bugs, test strategies, and technical findings with clear written communication.
  • Experience evaluating AI systems, machine learning models, or AI-generated outputs is preferred.
  • Ability to work independently while managing multiple complex tasks with minimal supervision.
  • Ability to commit approximately 35 hours per week on a consistent basis.
Preferred Qualifications
  • Experience with AI evaluation, benchmark development, or quality assurance for machine learning systems.
  • Background in automation testing, validation frameworks, or software quality engineering.
  • Familiarity with large language models, AI agent workflows, or evaluation pipelines.
  • Experience creating repeatable QA processes for research or engineering projects.
Why Join
  • Play a key role in improving the quality and reliability of next-generation AI evaluation benchmarks.
  • Collaborate with leading AI researchers on cutting-edge evaluation methodologies.
  • Help ensure AI systems are tested against rigorous, real-world scenarios.
  • Apply your software testing and quality engineering expertise to advance AI reliability.
  • Enjoy the flexibility of a fully remote engagement while contributing to impactful AI research.
Equal Opportunity
We are committed to creating an inclusive workplace where all qualified applicants receive equal consideration. Reasonable accommodations are available throughout the application and engagement process.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Expected commitment of approximately 35 hours per week.
  • Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
  • Work does not require access to confidential or proprietary information from any current or former employer.
  • Payments are issued weekly based on approved work completed.
  • At this time, we are unable to support H1-B or STEM OPT candidates.