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Temporary Ai Training Jobs (NOW HIRING)

AKIVA AI

Compliance & HR Manager

Tucson, AZ

$85K - $135K/yr

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

Staff Curriculum Manager (R4803)

Dallas, TX

$100K - $150K/yr

... 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 ...

Shield AI

Staff Curriculum Manager (R4803)

Dallas, TX · On-site

... 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 ...

Shield AI

Staff Curriculum Manager (R4803)

Dallas, TX · On-site

$100K - $150K/yr

... 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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AI Governance & Data Privacy Attorney

Austin, TX · Remote

$75 - $110/hr

... 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

Shield AI

Standardization Pilot (R4736)

Dallas, TX

$130K - $200K/yr

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting ... Support training and evaluation of pilots to ensure consistency in operational execution

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Temporary Ai Training information

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$32K

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$112K

How much do temporary ai training jobs pay per year?

As of Jun 9, 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.

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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Temporary Ai Training jobs near you
Infographic showing various Temporary Ai Training job openings in the United States as of May 2026, with employment types broken down into 10% As Needed, 40% Full Time, 40% Part Time, and 10% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,682 per year, or $33 per hour.

Medical Front Office Coordinator (AI Model Training)

FIND HealthCareers

Dallas, TX • On-site, Remote

$16.25 - $21.25/hr

Contractor

Posted 5 days ago

Job description

FIND Healthcareers is a healthcare recruitment firm led by professionals who operate within the system — not outside of it. We partner with growing healthcare organizations across the U.S. to build clinical, operational, and leadership teams that improve how care is delivered.

We recruit across the full spectrum of healthcare talent — from Licensed Practical Nurses and Physicians to practice managers and operational leaders. Whether through direct hire, contract, or temp-to-hire placements, we connect candidates with environments where they can perform and organizations with people who actually move the needle.

Backed by strong relationships across healthcare networks and training programs, we don't just fill roles — we align talent with real-world operational needs.

AI Workflow Reviewer – Front Office Coordinator (Healthcare)About the Opportunity

Our client is developing AI-powered patient communication solutions and is seeking experienced healthcare front office professionals to help evaluate and improve AI-driven patient interactions.

This short-term project will involve reviewing patient calls handled by AI systems and providing feedback on whether the interactions accurately reflect real-world clinic workflows and patient experience standards.

What We Offer
  • Location: Remote (United States Only)
  • Commitment: 4 Weeks (around 10h per week)
  • Contract Type: Temporary Independent Contractor (1099)
  • Compensation: Competitive hourly compensation based on experience
Responsibilities
  • Review AI-handled patient phone calls and interactions
  • Evaluate workflow accuracy and patient communication quality
  • Assess common front office scenarios including:
    • Appointment scheduling and rescheduling
    • Medication refill requests
    • Payment collection and billing inquiries
    • Insurance-related questions
    • Patient intake and registration workflows
  • Identify workflow gaps and opportunities for improvement
  • Provide structured feedback to the project team
Required Qualifications
  • Minimum 2 years of healthcare front office experience
  • Experience in one or more of the following specialties:
    • Dental
    • Optometry
    • Pain Management
    • Dermatology
  • Strong understanding of patient scheduling and front office operations
  • Excellent communication and organizational skills
  • Comfortable reviewing recorded calls and documenting feedback
Preferred Qualifications
  • Bilingual English/Spanish
  • Experience with practice management or scheduling software
  • Experience handling patient payments and insurance verification
  • Previous quality assurance, training, or workflow improvement experience
Ideal Candidate

You have firsthand experience managing patient interactions in a specialty clinic environment and can quickly recognize whether a conversation reflects how a real practice would operate. You understand the nuances of scheduling, medication requests, payment collection, and patient communication, and can provide practical feedback to improve AI performance.

Why This Role Matters

You will play a vital role in training and enhancing AI systems that will be utilized across the healthcare landscape. Your clinical judgment will help ensure these systems are safe, accurate, and aligned with real-world medical practice.

We don't just place candidates — we work inside healthcare operations every day. That means we understand what actually works on the ground. If you're looking for a role where that matters, we encourage you to apply.