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Generative Ai Training Jobs (NOW HIRING)

AJAIA

Generative AI Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products ...

Nike

Generative AI Design Expert

Beaverton, OR · On-site

Will accept any suitable combination of education, experience and training * Mastery of modern generative AI tools (Flora.ai, ComfyUI, or similar platforms) with hands-on experience building custom ...

Visa

Product Analyst - Generative AI Platform

Austin, TX · Hybrid

$110K/yr

The Generative AI Platform Product team is building a scalable, next-generation platform that ... Support enablement efforts by helping create demos, training materials, and best-practice guides ...

Weekday

Operations AI Specialist

$80 - $110/hr

Generative Ai Team Role This role is for one of our clients Compensation: $80-$110 per hour Join a ... training data. In this role, you will work closely with research teams to design, evaluate, and ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... This role focuses on training and deploying diffusion and generative models across vision, video ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. Our goal is ... This role focuses on training and deploying diffusion and generative models across vision, video ...

Visa

Product Analyst - Generative AI Platform

Austin, TX · On-site

$110K/yr

The Generative AI Platform Product team is building a scalable, next-generation platform that ... Support enablement efforts by helping create demos, training materials, and best-practice guides ...

Hearst

Senior Engineer, Generative AI

New York, NY · On-site

$114K - $157K/yr

Design and develop Generative AI applications and features using modern LLM APIs and open-source ... training, certifications, and education. Hearst provides a competitive benefits package, including ...

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Generative Ai Training information

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How much do generative ai training jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for generative ai training in the United States is $29.06, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $36.06 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What are the key skills and qualifications needed to thrive in Generative AI Training, and why are they important?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

What is the difference between Generative Ai Training vs Data Scientist?

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

What is Generative AI Training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.
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Generative Ai Training jobs near you
Infographic showing various Generative Ai Training job openings in the United States as of June 2026, with employment types broken down into 37% Full Time, 60% Part Time, 1% Temporary, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $60,444 per year, or $29.1 per hour.

Creative Writing Generative AI Analyst - USA (Remote)

Welo Global

Remote

$28.80/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Role
We are hiring Creative Writing Generative AI Analysts in the United States to perform annotation efforts of multimedia and language data labeling and review work (e.g., video, images, and related metadata). This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality datasets used to train and improve generative AI models.
Project Details
  • Job Title: Creative Writing Generative AI Analyst
  • Location: Remote, USA
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $28.80/hour

What You'll Do
  • Perform annotation and labeling tasks for generative AI datasets, including text, image, video, and multimodal content
  • Create, review, and evaluate prompts and responses across a variety of domains and use cases
  • Conduct quality assurance reviews to ensure annotation accuracy, consistency, and adherence to guidelines
  • Assist in developing and refining annotation guidelines and evaluation criteria
  • Support data collection, categorization, tagging, and evaluation workflows for machine learning systems
  • Identify edge cases, inconsistencies, and quality issues within datasets and model outputs
  • Collaborate with internal teams and external partners to improve annotation quality and operational efficiency
  • Provide feedback on workflows, tooling, and annotation processes

Requirements:
  • Native level proficiency English with excellent written and verbal communication skills.
  • Work Authorization is required for the role.
  • Strong attention to detail and ability to follow complex annotation guidelines
  • Interest in creative writing, generative AI, machine learning, and emerging AI technologies
  • Experience with data annotation, content evaluation, labeling operations, or quality review workflows preferred
  • Bachelor's degree or equivalent practical experience

Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, large language models, RLHF, or multimodal AI workflows
  • Domain knowledge in Law/Medical/Math/Coding/etc is a plus
  • Bilingual proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, or French)
  • Experience annotating prompts, responses, images, video sequences, or other AI training data
  • QA/testing experience within AI, data operations, or content review environments
  • Experience working with evaluation rubrics, taxonomy development, or dataset quality initiatives
  • Python or scripting experience is a plus

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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