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Temporary Machine Learning Testing Jobs (NOW HIRING)

Hive

Machine Learning Manager

Seattle, WA · 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 ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

Driving engineering best practices across CI/CD, observability, testing, and automation Tech stack ... Machine Learning Engineering ✔ MLOps Engineering ✔ Platform Engineering ✔ Software ...

Visa

Director, Machine Learning

Austin, TX · On-site

This includes idea generation, architecture, design, development, and testing of products ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Hive

Machine Learning Manager

Seattle, WA

$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 ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Work with subject matter experts to build out training/testing datasets * Design and build tests ... Experience with machine learning algorithms and frameworks in Python * United States citizenship ...

NSS

Machine Learning Engineer

Concord, NC · Remote

Work with subject matter experts to build out training/testing datasets * Design and build tests ... Experience with machine learning algorithms and frameworks in Python * United States citizenship ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

This includes idea generation, architecture, design, development, and testing of products ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

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 ...

Apple

Machine Learning Engineer

Austin, TX · On-site

... and testing workflows. Minimum Qualifications 4+ years of related experience building high throughput scalable applications or building machine learning models. Proficiency in one or more object ...

Q2

Machine Learning Engineer

Austin, TX

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 ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Design evaluation pipelines, metrics, and testing frameworks to measure model capabilities ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

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

$150K - $220K/yr

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 ...

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 ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

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

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 Jun 29, 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 jobs pay $2000 a day?

In the context of temporary machine learning testing roles, high daily pay rates such as $2000 are typically associated with specialized consulting, freelance projects, or senior contract positions that require advanced skills in machine learning, data analysis, and programming. These roles often involve short-term contracts, high expertise, and may require certifications or extensive experience. Such high-paying opportunities are less common and usually found in consulting firms or as independent contractors rather than standard employment positions.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. Such roles may involve developing complex models, overseeing AI projects, and utilizing tools like Python, TensorFlow, or PyTorch, with compensation reflecting expertise and impact.

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.

What job makes $10,000 a month without a degree?

A temporary machine learning testing role can potentially pay $10,000 a month for experienced professionals, especially those with strong technical skills in data analysis, programming, and model evaluation. Such positions often require expertise in tools like Python, TensorFlow, or cloud platforms and may involve contract or freelance work with flexible schedules.

Which 3 jobs will survive AI?

For a Temporary Machine Learning Testing role, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. These include roles such as software developers, data scientists, and AI specialists, as they involve designing, interpreting, and managing AI systems. Continuous learning and technical skills in programming, data analysis, and domain expertise are essential for adapting to evolving technology landscapes.
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Temporary Machine Learning Testing jobs near you
Machine Learning Manager

Machine Learning Manager

Hive

Seattle, WA • On-site

$180K - $250K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 12 hours ago

Key responsibilities

  • Lead a team of machine learning engineers and help them achieve their goals through mentorship.

  • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap supporting the long term vision of the team.

  • Participate in the full development cycle including data collection, labeling, model development, experimentation, training, testing, and deployment in production.

Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Machine Learning Manager
In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets. We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
  • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
  • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
  • Participate in products technical design and architecture
  • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production.
  • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
  • Implement and manage security protocols such as training, code review, and best practices
  • Own and manage the risk and security of your business function in coordination with the Security Team
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements
  • Undergraduate or graduate degree in computer science or similar technical field
  • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
  • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
  • 2+ years experience managing machine learning teams
  • You have an ability to understand and make well-reasoned tradeoffs in designing features
  • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
  • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
  • Have experience collaborating with product managers and labeling team in delivering model improvements

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.
Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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