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Temporary Ai Trainer Jobs (NOW HIRING)

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Temporary Assignment Work Type: Onsite * The Senior AI Engineer - Privacy will design, build, and ... Ensure data quality, lineage, and governance standards are maintained across all AI training and ...

Collect high-quality motion data for AI model training. * Identify and flag issues or bugs during ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

New

Key Responsibilities Own end-to-end compliance for all temporary employees placed under the ... extension AI productivity tools and training provided at no cost to employees Comprehensive ...

... AI's X-BAT training curriculum program. They will ensure training products are innovative and ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

... Shield AI's V-BAT educational material. They will ensure training products are innovative and ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

... AI's X-BAT training curriculum program. They will ensure training products are innovative and ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

Be Seen First

... temporary support. This role is ideal for an attorney who understands the complexities of AI in a ... Certifications or formal training in AI, data privacy, or technology law strongly preferred

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Temporary Ai Trainer information

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How much do temporary ai trainer jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for temporary ai trainer in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

What are some common challenges faced by Temporary AI Trainers, and how can they be addressed?

Temporary AI Trainers often face the challenge of quickly adapting to new data sets and annotation guidelines, as projects and requirements can change frequently. Balancing speed and accuracy is crucial, especially when labeling large volumes of data under tight deadlines. Communication with permanent team members is important to clarify uncertainties and ensure consistency in training data. To address these challenges, it's helpful to ask questions early, make use of available documentation, and participate actively in feedback sessions to continuously improve your work.

What are Temporary AI Trainers?

Temporary AI Trainers are professionals hired on a short-term basis to help train artificial intelligence systems. Their responsibilities typically include labeling data, reviewing machine learning outputs, and providing feedback to improve AI models’ accuracy. These roles are essential for teaching AI systems to recognize patterns, understand language, or perform specific tasks. Temporary AI Trainers often work on projects with a defined duration or until a particular dataset is fully annotated. This position is ideal for those interested in the growing field of AI and machine learning but looking for flexible or project-based work.

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

AspectTemporary Ai TrainerData Annotator
Required CredentialsBasic technical skills, familiarity with AI conceptsAttention to detail, basic computer skills
Work EnvironmentRemote or on-site, collaborative with AI teamsRemote or on-site, focused on data labeling tasks
Employer & Industry UsageTech companies, AI startups, research labsTech firms, data companies, AI development projects
Search & Comparison IntentUnderstanding roles in AI trainingData labeling and annotation roles

Temporary Ai Trainers and Data Annotators both support AI development but differ mainly in scope. Temporary Ai Trainers focus on training AI models through supervised tasks, requiring some technical knowledge. Data Annotators primarily label data to prepare datasets, emphasizing attention to detail. Both roles are essential in AI projects and often overlap in work environment and industry usage.

What are the key skills and qualifications needed to thrive as a Temporary AI Trainer, and why are they important?

To thrive as a Temporary AI Trainer, you need strong analytical skills, attention to detail, and a background in linguistics, data annotation, or a related field. Familiarity with annotation platforms, spreadsheet tools, and sometimes basic programming or scripting is often required. Excellent communication, adaptability, and the ability to follow detailed instructions make someone stand out in this position. These skills ensure high-quality data labeling and feedback, which are critical for improving AI models' accuracy and performance.
What cities are hiring for Temporary Ai Trainer jobs? Cities with the most Temporary Ai Trainer job openings:
What are the most commonly searched types of Ai Trainer jobs? The most popular types of Ai Trainer jobs are:
What states have the most Temporary Ai Trainer jobs? States with the most job openings for Temporary Ai Trainer jobs include:
Infographic showing various Temporary Ai Trainer job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 18% Part Time, and 20% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.
Transportation, Storage, and Distribution Managers - AI Trainer (Contract)

Transportation, Storage, and Distribution Managers - AI Trainer (Contract)

Handshake

San Francisco, CA

$77K - $104K/yr

Contractor

Posted 8 hours ago


Job description

Overview

Handshake is recruiting Transportation, Storage, and Distribution Manager Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.

Details

  • The position is remote and asynchronous; work independently from wherever you are.

  • The hours are flexible, with no minimum commitment, but most average 5-20 hrs

  • The work includes developing prompts for AI models that reflect your field, and then evaluating responses.

  • You’ll learn new skills and contribute to how AI is used in your field

  • Your placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.

Qualifications

  • You have at least 4 years of professional experience in one or more of the following types of work.

  • The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models

    • Supervise workers engaged in receiving, storing, testing, and shipping products or materials.

    • Plan, develop, and implement warehouse safety and security programs.

    • Inspect warehouses, vehicle fleets, and equipment, and order testing, maintenance, repairs, or replacements.

    • Plan, organize, and manage subordinate staff to ensure work meets organizational requirements.

    • Collaborate with other departments to integrate logistics with business systems such as sales, order management, accounting, and shipping.

    • Analyze corporate logistics operations to identify cost-effective and efficient transportation methods.

    • Resolve issues related to transportation, logistics systems, imports or exports, or customer concerns.

    • Develop and document standard and emergency operating procedures for receiving, handling, storing, shipping, or salvaging materials.

    • Monitor operations to ensure compliance with administrative policies, safety rules, union contracts, environmental policies, and government regulations.

    • Analyze the financial impact of proposed logistics changes, including routing, shipping modes, volumes, and carriers.

    • Monitor inventory levels in warehouses.

    • Establish and monitor supply chain performance measurement systems.

    • Prepare and manage departmental budgets.

    • Monitor import and export processes to ensure regulatory and legal compliance.

    • Prepare management recommendations, such as proposed fee, tariff, or schedule changes.

    • Interview, select, and train warehouse and supervisory personnel.

    • Advise sales and billing departments on transportation charges for customer accounts.

    • Analyze expenditures and financial data to develop plans, policies, or budgets to improve profitability and services.

    • Confer with department heads to coordinate warehouse activities, including production, sales, records control, and purchasing.

    • Implement specific customer requirements, such as internal reporting or customized transportation metrics.

    • Maintain metrics, reports, process documentation, customer service logs, and training or safety records.

    • Review invoices and shipping manifests for compliance with tariff and customs regulations.

    • Plan and implement energy-saving transportation initiatives, such as route reduction, capacity optimization, alternate transport modes, and reduced idling.

    • Evaluate contractors and business partners for efficiency, safety, and environmental performance.

    • Negotiate with carriers, warehouse operators, and insurance representatives for services and favorable rates.

    • Develop or implement facility modification or expansion plans, including equipment purchases, space allocation, or structural changes.

    • Direct inbound and outbound operations, including transportation, warehouse activities, safety performance, and logistics quality management.

    • Direct the use of drones and autonomous vehicles for efficient delivery and inventory management.

    • Plan and implement improvements to internal and external systems or processes.

    • Recommend or authorize capital expenditures for new equipment or property to improve efficiency and services.

    • Review invoices, work orders, consumption reports, and demand forecasts to estimate peak periods and assign work.

  • You’re able to participate in asynchronous work in partnership with leading AI labs.

Application Process

  • Create a Handshake account

  • Upload your resume and verify your identity

  • Get matched and onboarded into relevant projects

  • Start working and earning

Work authorization information

F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.