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Temporary Ai Training Jobs (NOW HIRING)

V-BAT Internal Training Instructor (R5023)

Dallas, TX · Remote

$56K - $74K/yr

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

Temporary Training Designer

Los Angeles, CA · On-site

$40.87 - $45.67/hr

Temporary Training Designer Job Type: Full-Time, Hybrid (90% WFH, 10% In-person) Location: Los ... Expertise with Articulate 360 (Storyline & Rise), Adobe Captivate, Camtasia, Vyond, and AI ...

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 ...

AI Integration Developer

Lemont, IL · On-site

$50.75 - $67.25/hr

... temporary and permanent talent. Visit us at -a-job/ to learn more and view our open positions ... AI training and collaborative ventures. Objectives * The overall goal of this assignment is to ...

AI Integration Developer

Lemont, IL · Hybrid

$50.75 - $67.25/hr

... with exceptional temporary and permanent talent. Visit us at to learn more and view our open ... AI training and collaborative ventures. Objectives The overall goal of this assignment is to ...

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 ...

... 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 ...

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Temporary Ai Training information

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$32K

$68.7K

$112K

How much do temporary ai training jobs pay per year?

As of Jun 13, 2026, the average yearly pay for temporary ai training in the United States is $68,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $84,500.00 per year, depending on experience, location, and employer.

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

To excel as a Temporary AI Training Specialist, you typically need strong analytical skills, attention to detail, and familiarity with data labeling or annotation processes, often supported by a background in computer science or related fields. Experience with annotation tools, data management platforms, or basic programming languages like Python is highly beneficial. Strong communication, adaptability, and the ability to follow guidelines precisely are critical soft skills in this role. These capabilities ensure high-quality data preparation, which is essential for training effective AI systems.

What are some typical challenges faced in a Temporary AI Training role, and how can I prepare for them?

In a Temporary AI Training position, you may encounter challenges such as processing large volumes of data, maintaining accuracy during repetitive annotation tasks, and adapting quickly to evolving guidelines. You’ll often need to collaborate with project managers and engineers to ensure your work aligns with model requirements, which demands strong communication and attention to detail. To succeed, it helps to develop efficient workflows, stay organized, and be proactive in seeking clarification when instructions are unclear. This role offers valuable experience in the growing field of artificial intelligence and can be a stepping stone to more advanced opportunities.

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

AspectTemporary Ai TrainingData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data handlingAttention to detail, basic computer skills
Work EnvironmentTech companies, remote or on-site, project-basedData labeling teams, remote or on-site, task-specific
Employer & Industry UsageAI development firms, tech startupsData services providers, AI companies
Search & Comparison IntentUnderstanding roles in AI trainingData labeling and annotation tasks

Temporary Ai Training involves preparing AI models by providing labeled data, often requiring some technical knowledge. Data Annotators focus on labeling data accurately for AI systems, typically with minimal technical requirements. Both roles are essential in AI development but differ mainly in scope and technical complexity.

Are there any legitimate AI training jobs?

Temporary AI training jobs are available and often involve annotating data, labeling images, or reviewing outputs to improve AI models. These roles typically require attention to detail, basic technical skills, and sometimes familiarity with machine learning tools or platforms. Legitimate opportunities are posted by reputable companies and usually do not require upfront payments or extensive personal information.

Do AI training jobs actually pay?

AI training jobs typically offer pay, especially for roles involving data annotation, labeling, or model training, with wages varying based on experience, location, and task complexity. Many positions are paid hourly or project-based, and some require familiarity with tools like annotation platforms or basic understanding of machine learning concepts.

How can I make 2000 a week working from home?

A temporary AI training role can offer opportunities to earn around $2000 weekly by working on tasks such as data labeling, model validation, or annotation from home. Success depends on experience, efficiency, and the volume of projects available, often requiring strong attention to detail and familiarity with AI tools. Building a reputation and securing multiple clients or platforms can help reach this income level.

Can I train AI with no experience?

Temporary AI training roles often do not require prior experience, as they may focus on data labeling, annotation, or assisting with model development under supervision. Basic knowledge of data handling, attention to detail, and familiarity with AI tools or platforms can be helpful, but training programs often provide necessary instruction for beginners.

What is a Temporary AI Training job?

A Temporary AI Training job typically involves working on short-term projects to help train artificial intelligence systems. This may include tasks such as labeling images, transcribing audio, or categorizing data to improve the accuracy of machine learning models. These positions are often contract-based and do not require advanced technical skills, making them accessible to a wide range of job seekers. The work is crucial for ensuring that AI systems can understand and process information correctly. Temporary AI Training roles may be remote or in-office, depending on the employer.
More about Temporary Ai Training jobs
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What are the most commonly searched types of Ai Training jobs? The most popular types of Ai Training jobs are:
What states have the most Temporary Ai Training jobs? States with the most job openings for Temporary Ai Training jobs include:
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 28 days 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.