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Temporary Ai Tasker Jobs in California (NOW HIRING)

This role will help turn AI development strategy into practical, repeatable operating practices ... task decomposition, and acceptance criteria. • Support development of internal playbooks ...

Assembler Temporary

Stockton, CA · On-site

$19 - $21/hr

S.-based manufacturer dedicated to building the precision infrastructure that powers tomorrow's AI ... Ability to stand, walk, bend, reach, grasp, and perform repetitive assembly tasks throughout the ...

Assembler Temporary

Stockton, CA · On-site

$19 - $21/hr

S.-based manufacturer dedicated to building the precision infrastructure that powers tomorrow's AI ... Ability to stand, walk, bend, reach, grasp, and perform repetitive assembly tasks throughout the ...

Assembler Temporary

Stockton, CA · On-site

$19 - $21/hr

S.-based manufacturer dedicated to building the precision infrastructure that powers tomorrow's AI ... Ability to stand, walk, bend, reach, grasp, and perform repetitive assembly tasks throughout the ...

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Understanding of robotics technologies related to autonomous behavior development e.g. task ...

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Temporary Ai Tasker information

What is the difference between Temporary Ai Tasker vs Data Annotator?

AspectTemporary Ai TaskerData Annotator
Required CredentialsBasic technical skills, training in AI toolsAttention to detail, sometimes specific software knowledge
Work EnvironmentRemote or on-site, project-basedRemote or on-site, often in tech or AI companies
Employer & IndustryAI startups, tech firms, freelance platformsTech companies, AI development teams
Common Search & ComparisonYesYes

Temporary Ai Taskers and Data Annotators both support AI development, often working remotely and requiring attention to detail. Temporary Ai Taskers typically handle a variety of AI-related tasks with flexible training, while Data Annotators focus specifically on labeling data for machine learning models. Both roles are essential in AI projects and share similar work environments and industry usage.

What are the most commonly searched types of Ai Tasker jobs in California? The most popular types of Ai Tasker jobs in California are:
What job categories do people searching Temporary Ai Tasker jobs in California look for? The top searched job categories for Temporary Ai Tasker jobs in California are:
What cities in California are hiring for Temporary Ai Tasker jobs? Cities in California with the most Temporary Ai Tasker job openings:

AI Program Manager, Temporary

HME

Carlsbad, CA • On-site

$125 - $150/hr

Full-time

Posted 17 days ago


Job description

HME is seeking a contractor Program Manager to help accelerate Engineering's transition to Spec-Based AI Development. This role will partner closely with Engineering leadership, AI Center of Excellence stakeholders, and product development teams to operationalize AI coding standards, approved tools, review practices, training materials, reusable specifications, playbooks, and adoption tracking.
The ideal candidate is a highly organized technical program manager with experience supporting software engineering teams, change management initiatives, AI-enabled development practices, and cross-functional execution. This role will help turn AI development strategy into practical, repeatable operating practices that improve engineering speed, quality, consistency, and measurable business impact.
Key Responsibilities
• Coordinate the rollout of established AI coding standards, approved tools, review practices, and governance expectations across Engineering teams.
• Partner with AI / Engineering leadership to support consistent oversight, risk controls, and adoption of AI-enabled development practices.
• Drive creation and standardization of reusable templates for product specifications, technical design, task decomposition, and acceptance criteria.
• Support development of internal playbooks, training materials, examples, and enablement resources for engineering teams.
• Identify training needs and coordinate delivery of enablement activities, including office hours, guild-style forums, and practical team support.
• Help expand adoption of Spec-Based AI Development across teams.
• Partner with Engineering teams to define and track adoption metrics, productivity gains, cycle-time improvements, quality signals, rework, test coverage, and other ROI indicators.
• Coordinate activities related to automation improvements, including automated tests, build validation, static analysis, security scans, and regression gates, as applicable.
• Maintain project plans, action trackers, stakeholder communications, status updates, and escalation paths to ensure the transition progresses quickly and consistently.
• Surface risks, dependencies, and adoption barriers; recommend practical solutions to improve execution and team engagement.
Required Qualifications
• 5+ years of experience in program management, technical program management, engineering operations, product operations, or a related role.
• Experience working with software engineering teams and technical stakeholders.
• Strong understanding of software development lifecycle practices, including requirements definition, technical design, code review, testing, and release readiness.
• Demonstrated ability to drive cross-functional initiatives from planning through execution.
• Strong written communication skills, including the ability to create clear templates, playbooks, status updates, and stakeholder-facing materials.
• Experience coordinating training, enablement, or change management initiatives.
• Ability to translate strategic goals into practical operating processes and measurable outcomes.
• Strong organizational skills with the ability to manage multiple workstreams, stakeholders, and deliverables in parallel.
Preferred Qualifications
• Experience with AI-assisted software development, AI coding tools, prompt/spec-driven development, or engineering productivity initiatives.
• Familiarity with AI governance, responsible AI practices, risk controls, and tool approval processes.
• Experience creating engineering templates, technical documentation, internal playbooks, or development standards.
• Experience defining dashboards or performance metrics related to engineering productivity, quality, adoption, or ROI.
• Background working with distributed engineering teams or multiple product areas.
• Experience with DevOps, automated testing, static analysis, security scanning, or build validation processes.
The posted pay range, $125-$150 per hour, is what we reasonably expect to pay for the role. This may vary depending on experience and other factors.
The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee will occasionally lift and move up to 10 pounds, 50 pounds with assistance.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.