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Temporary Machine Learning Testing Jobs (NOW HIRING)

KSB, Inc.

Machine Learning Engineer

Grovetown, GA · On-site

$70 - $95/hr

## Machine Learning EngineerApplylocations: Grovetown, GAposted on: Posted Todayjob requisition id: JR ... Help bring prototype code to production quality: testing, documentation, version control*

Machina Labs

Machine Learning Engineer

Los Angeles, CA · On-site

$160K - $190K/yr

Strong experience designing, building, training, and testing machine learning models end-to-end. * Proven ability to work with raw, unstructured, or incomplete data, including data collection ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production. * Drive delivery for our product milestones, continually ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

  • Medical

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... testing and validation EXPERIENCE AND KNOWLEDGE Bachelor's degree in related field and 5-8 years ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production * Drive delivery for our product milestones, continually ...

Ksb

Machine Learning Engineer

Grovetown, GA · On-site

Help bring prototype code to production quality: testing, documentation, version control ... Machine learning: PyTorch, scikit-learn * Data: NumPy, pandas * Scientific computing: SciPy ...

Apex Informatics

Machine Learning Engineer

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine ... domain shift testing, QA, A/B testing and so on. • Maintain production-ready code with ...

Hive

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... testing, and deployment in production. * Drive delivery for our product milestones, continually ...

CRC Group

Machine Learning Engineer

Charlotte, NC · On-site

$140 - $180/hr

Regular or Temporary:**Regular**Language Fluency:** English (Required)**Work Shift:**1st Shift ... Responsible for design, developing, and maintaining automated unit testing, and supporting ...

Q2 India

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

  • Medical

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... testing and validation**EXPERIENCE AND KNOWLEDGE** • Bachelor's degree in related field and 5-8 ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

  • Medical

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... testing and validation EXPERIENCE AND KNOWLEDGE • Bachelor's degree in related field and 5-8 ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

  • Medical

  • Retirement

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Comfort working in a production software environment: version control, code review, testing, and ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

  • Medical

  • Retirement

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... Comfort working in a production software environment: version control, code review, testing, and ...

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Temporary Machine Learning Testing information

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How much do temporary machine learning testing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for temporary machine learning testing in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is the difference between Temporary Machine Learning Testing vs Data Scientist?

AspectTemporary Machine Learning TestingData Scientist
CredentialsTypically requires knowledge of machine learning tools, programming, and basic statisticsRequires advanced degrees (e.g., Master’s or PhD) in data science, statistics, or related fields
Work EnvironmentProject-based, often temporary roles focused on testing models and algorithmsLong-term, strategic roles involving data analysis, model development, and business insights
Industry UsageCommon in tech, finance, and research sectors for specific testing tasksWidely used across industries for data-driven decision making

Temporary Machine Learning Testing roles focus on evaluating and validating machine learning models in short-term projects, while Data Scientists develop, implement, and interpret complex data models for ongoing business strategies. Both roles require technical skills, but Data Scientists typically have higher educational credentials and broader responsibilities.

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Temporary Machine Learning Testing jobs near you
Infographic showing various Temporary Machine Learning Testing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Machine Learning Engineer

Framework Ventures

San Francisco, CA • On-site

$120 - $160/hr

Other

Posted 14 days ago

Job description

Andalusia Labs is building foundational economic infrastructure for programmable global markets, connecting capital, computation, and coordination across the internet. Our work sits at the intersection of distributed systems, finance, and machine intelligence, with the goal of growing the world’s programmable GDP.

Our team has shipped massively scalable systems and products at Coinbase, Google, AWS, Microsoft, X, TikTok, Goldman Sachs, and High-Frequency Trading firms. We are backed by Coinbase, Mubadala, Lightspeed, Bain Capital, Pantera, Framework, Digital Currency Group, Proof Group, Nima Capital, Naval Ravikant, Arthur Hayes, and founders, GPs, and executives from organizations like Founders Fund, Google, and Coinbase.

Role

We are looking for a talented and driven Machine Learning Engineer who is passionate about building innovative products from 0 to Production. As a Machine Learning Engineer, you will work on a variety of projects related to applied machine learning. You will work closely with the founders, engineers, and other cross‑functional partners and bring new products and business lines to market. This is an amazing opportunity offering you the ability to learn new technical skills in blockchain and work with an amazing team of engineers.

Responsibilities
  • Work closely with the founders, engineers, and other cross‑functional partners to rapidly iterate, experiment, and launch products
  • Improve and optimize LLMs for use in production systems
  • Design and implement scalable data and machine learning pipelines
  • Build best‑in‑class AI chatbots that guide users through their Karak journey by translating research papers, blogs, and technical documentation into more accessible content
  • Participate in discussions from the initial product ideas to launch
  • Understand, build, and help optimize financial algorithms
Requirements
  • BA/BS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience
  • 5+ years of systems programming experience working with at least one of these languages (Python, Scala, Java)
  • Experience building machine learning models with ML frameworks such as Tensorflow, PyTorch, and other open‑source frameworks
  • Experience manipulating and optimizing large amounts of structured and unstructured data through pipeline development tools
  • Familiarity with modern software development practices, including version control (Git), continuous integration, and automated testing as applied to Rust, Go, and/or Solidity stacks
  • Highly autonomous, ability to design and develop software with minimal guidance
  • Ability to work in a fast‑paced environment and across the product engineering stack
  • Clear written and verbal communication
Bonus
  • Experience building or working on open‑source ML projects
  • Experience building on EVM, Solana, or Cosmos
  • Experience in algorithmic trading or understanding of traditional finance primitives
  • Founded a company
  • Experience working with startups
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