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Contract Machine Learning Qa Jobs (NOW HIRING)

Weekday AI

QA/Test Engineer

$60 - $90/hr

Experience evaluating AI systems, machine learning models, or AI-generated outputs is preferred ... Contract & Engagement Details * Independent contractor engagement. * Fully remote with flexible ...

FloVision Solutions

Machine Learning Engineer

We design computer vision and machine learning-assisted production processes to reduce food waste, improve QA, and enhance staff skills, using proprietary hardware and software to solve customer ...

FloVision Solutions

Machine Learning Engineer

OR · On-site +1

We design computer vision and machine learning-assisted production processes to reduce food waste, improve QA, and enhance staff skills, using proprietary hardware and software to solve customer ...

Syntricate Technologies

Machine Learning

Cupertino, CA · On-site

Job Summary : Syntricate Technologies is looking for a Machine Learning expert with a strong ... Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and ...

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How much do contract machine learning qa jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for contract machine learning qa in the United States is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $54.57 per hour, depending on experience, location, and employer.

What is the difference between Contract Machine Learning Qa vs Contract Data Scientist?

AspectContract Machine Learning QaContract Data Scientist
CredentialsExperience in QA, testing, and ML model validationAdvanced degree in Data Science, Statistics, or related field
Work EnvironmentTesting labs, development teams, remote or onsiteData analysis, model development, collaborative teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech firms, analytics companies

Contract Machine Learning Qa professionals focus on testing and validating ML models to ensure quality and performance, often working closely with development teams. Contract Data Scientists analyze data, develop models, and derive insights. While both roles require knowledge of machine learning, QA roles emphasize testing and validation, whereas Data Scientists focus on model creation and data analysis.

What cities are hiring for Contract Machine Learning Qa jobs?

Cities with the most Contract Machine Learning Qa job openings:

What are the most commonly searched types of Machine Learning Qa jobs?

The most popular types of Machine Learning Qa jobs are:

What are popular job titles related to Contract Machine Learning Qa jobs?

For Contract Machine Learning Qa jobs, the most frequently searched job titles are:

Contract Machine Learning Qa jobs near you

QA/Test Engineer

Remote

Weekday AI
See more jobs at Weekday AIexternal

$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.

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