Technical Product Owner - AI & Machine Learning (Contract) Location;: Baton Rouge, LA (Hybrid- 3 days per week) Duration: 6 Months Pay Rate: $65/hr Job Overview: We are seeking a Technical Product ...
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Technical Product Owner - AI & Machine Learning (Contract) Location;: Baton Rouge, LA (Hybrid- 3 days per week) Duration: 6 Months Pay Rate: $65/hr Job Overview: We are seeking a Technical Product ...
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Machine Learning Engineer Location: South San Francisco, CA - hybrid role in Bay Arear Position ... Contract Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, Work on ML workflows for molecular ...
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$128.80K - $214.50K/yr
The Machine Learning Engineer will leverage their strong technical background and knowledge to ... Contract Wage Determination, relevant work experience, skills and competencies that align to the ...
Stay up to date with the latest developments in machine learning and related fields Seniority level Associate Employment type Contract Job function Information Technology Industries IT Services and ...
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Machine Learning Engineer
Honolulu, HI · On-site
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Machine Learning Engineer
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Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...
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Honolulu, HI · On-site
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Honolulu, HI · On-site
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Reston, VA · On-site
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Reston, VA · On-site
Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...
Machine Learning Engineer
Reston, VA · On-site
Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...
Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...
Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Strong understanding of machine learning algorithms ...
Volunteer Machine Learning Contract information
See salary details
$8.41 - $10.71
2% of jobs
$10.71 - $13
9% of jobs
$14.63 is the 25th percentile. Wages below this are outliers.
$13 - $15.30
19% of jobs
$15.30 - $17.59
13% of jobs
The median wage is $18.09 / hr.
$17.59 - $19.89
32% of jobs
$19.95 is the 75th percentile. Wages above this are outliers.
$19.89 - $22.18
9% of jobs
$22.18 - $24.48
4% of jobs
$24.48 - $26.77
4% of jobs
$26.77 - $29.06
0% of jobs
$29.06 - $31.36
4% of jobs
$31.36 - $33.65
3% of jobs
$8
$19
$33
How much do volunteer machine learning contract jobs pay per hour?
As of Jun 4, 2026, the average hourly pay for volunteer machine learning contract in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Volunteer Machine Learning jobs? The most popular types of Volunteer Machine Learning jobs are:
$65/hr
Other
Posted yesterday
Job description
Job Description Technical Product Owner - AI & Machine Learning (Contract) Location;: Baton Rouge, LA (Hybrid- 3 days per week) Duration: 6 Months Pay Rate: $65/hr Job Overview: We are seeking a Technical Product Owner to support the delivery of Artificial Intelligence (AI) and Machine Learning (ML) initiatives. This role will work closely with Data Science, Engineering, and Business teams to translate requirements into actionable work, manage product backlogs, and facilitate Agile delivery processes. The ideal candidate has experience working in Agile environments, managing Azure DevOps backlogs, and supporting the successful delivery of data-driven or AI-enabled solutions.
Key Responsibilities Support the delivery of AI and Machine Learning initiatives within established project timelines and objectives. Partner with the Data Science Manager to evaluate, organize, and prepare incoming business requests for technical refinement. Translate business and technical requirements into user stories, acceptance criteria, and prioritized backlog items.
Facilitate Agile ceremonies including sprint planning, backlog refinement, sprint reviews, and related delivery activities. Maintain Azure DevOps (ADO) Boards, ensuring backlog health, sprint tracking, velocity reporting, and delivery metrics remain current. Collaborate with Engineering, Data Science, Project Management, and Portfolio teams to coordinate priorities, timelines, and dependencies.
Clarify requirements and remove delivery roadblocks by working closely with technical teams and stakeholders. Monitor project progress, risks, and dependencies, escalating issues as needed. Maintain project documentation, status reporting, and delivery artifacts.
Recommend improvements to Agile processes, backlog management, and delivery workflows. Required Qualifications Experience as a Product Owner, Technical Product Owner, Product Analyst, Business Analyst, or similar delivery-focused role. Experience supporting Agile, Scrum, SAFe, or other iterative delivery methodologies.
Hands-on experience with Azure DevOps (ADO), including backlog management and sprint planning. Experience supporting Program Increment (PI) Planning, release planning, or multi-sprint delivery initiatives. Experience creating user stories, acceptance criteria, and managing product backlogs.
Understanding of Artificial Intelligence, Machine Learning concepts, and model lifecycle management. Knowledge of cloud platforms, data engineering concepts, and modern data ecosystems. Strong communication, stakeholder management, and organizational skills.
Ability to manage multiple priorities in a fast-paced environment. Preferred Qualifications Experience supporting Data Science, Analytics, or Machine Learning teams. Familiarity with MLOps concepts and AI product delivery frameworks.
Experience working within enterprise-scale Agile environments. Knowledge of Azure cloud technologies and data platforms. Success Metrics High-quality backlog management and user story development.
Consistent sprint execution and delivery predictability. Accurate project tracking, reporting, and dependency management. Effective collaboration across business and technical teams.
Timely delivery of project objectives and milestones.
About Strategystaff
Sourced by ZipRecruiter
Company size
201 - 500 Employees
Headquarters location
Sparta, NJ, US
Year founded
2008