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Temporary Ai Trainer Jobs (NOW HIRING)

DivIHN Integration Inc

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 ...

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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.
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Temporary Ai Trainer jobs near you
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.
Temporary Online Course Developer - RUCD ### - AI for Human-Centered Design

Temporary Online Course Developer - RUCD ### - AI for Human-Centered Design

Brandeis University

Waltham, MA • On-site

$3.0K/wk

Part-time

Posted 29 days ago

Job description

Temporary Online Course Developer - RUCD ### - AI for Human-Centered Design
Location: Remote (U.S.-based only)
Division: Rabb School of Continuing Studies, Brandeis University
Compensation: $3,000 (Approx. 65 hours over 12 weeks)
Brandeis University's Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: AI for Human-Centered Design.
This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online's graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance.
Course Description:
AI is transforming the way UX designers ideate, research, and build digital experiences. This course provides the core skills needed to lead that transformation, to effectively collaborate with AI as both a creative and analytical partner, and to produce portfolio-ready work that demonstrates readiness for the AI-enabled future of design. Students will explore how to leverage AI to accelerate UX research and design through strategic prompt engineering, use of AI agents and Vibe coding tools, and gain proficiency in designing and evaluating AI agents and AI-enabled applications, from deciding when AI should or should not be part of a solution, to anticipating issues around trust, transparency, and user control.
Responsibilities:
The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards. Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes.
The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis's academic standards and online course development guidelines.
Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones. Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online.
Qualifications:
  • Master's degree in Human Factors, HCI, User Experience, or related discipline.
  • Current, active employment in Human Factors, HCI, User Experience, or related disciplines.
  • 5+ years of professional experience in UX or related disciplines.
  • Applied experience designing AI agents and/or AI-enabled software.
  • Applied knowledge of AI design and prototyping tools, including Figma Make.
  • Applied knowledge of generative AI tool use for user experience research.
  • Basic Vibe coding proficiency.
  • At least 1 year of teaching or training experience (preferably online/asynchronous).
  • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education.
  • Proficiency with LMS platforms and digital authoring tools.
  • Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork.
  • Strong communication, organization, and independent work skills.
  • Familiarity with curriculum design, accreditation standards, and graduate-level rigor.
  • Ability to translate interdisciplinary content into engaging, accessible learning pathways.
  • Strong writing and editing skills to produce cohesive, learner-centered experiences.

Preferred Experience:
  • Experience teaching or developing graduate-level online courses.
  • Knowledge of global learner personas and culturally responsive pedagogy.
  • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P).
  • Familiarity with experiential learning models and employer-aligned curriculum.

Additional Details:
  • Fully remote (U.S.-based applicants only; no visa sponsorship).
  • 12-week development timeline (~65 total hours).
  • Compensation: $3000

Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

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