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Remote Generative Ai Jobs (NOW HIRING)

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ... week remote schedule and flexible hours for better work/life balance in our New York office ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

The ideal candidate will be passionate about Generative AI and Large Language Models (LLMs), with a ... week remote schedule and flexible hours for better work/life balance in our New York office ● ...

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI architecture across AI/ML and Generative AI initiatives. * * Design and lead AI architecture for business use cases

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced ... This role calls for a multifaceted expert with deep knowledge of Machine Learning, Generative AI ...

Global Channel Management

Remote AI Architect

$64.50 - $85/hr

About the job Remote AI Architect Remote AI Architect needs 10+ years' experience enterprise-wide ... or comparable generative AI ecosystems). * Deep expertise in cloud platforms, particularly ...

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Remote Generative Ai information

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$148.2K

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How much do remote generative ai jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote generative ai in the United States is $148,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote Generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

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

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

Which 3 jobs will survive AI?

For remote generative AI roles, jobs that require complex human judgment, creativity, and emotional intelligence are most likely to survive AI automation. These include roles like AI ethicists, creative professionals, and AI system trainers who need specialized skills, domain expertise, and critical thinking. Such jobs often involve oversight, nuanced decision-making, and interpersonal skills that are difficult for AI to replicate fully.

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

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and highly competitive, often found in large tech companies or innovative startups.

Can you work in AI remotely?

Remote Generative AI roles are common in the industry, allowing professionals to work from various locations. These jobs often require strong skills in machine learning, programming, and familiarity with cloud-based tools, and may involve collaboration through online platforms. Many companies offer flexible schedules for AI specialists working remotely.

How can I make 2000 a week working from home?

Remote Generative AI roles can offer high earning potential through freelance projects, consulting, or full-time positions that pay based on project scope or hourly rates. Building specialized skills in AI, machine learning, and natural language processing, along with a strong portfolio and proficiency with tools like Python and TensorFlow, can help increase earning capacity to reach or exceed $2000 weekly. Consistent work, networking, and staying updated on industry demand are key factors in achieving this income level remotely.

What is a Remote Generative AI job?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.
More about Remote Generative Ai jobs
What cities are hiring for Remote Generative Ai jobs? Cities with the most Remote Generative Ai job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Remote Generative Ai jobs? States with the most job openings for Remote Generative Ai jobs include:
What job categories do people searching Remote Generative Ai jobs look for? The top searched job categories for Remote Generative Ai jobs are:
Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $148,233 per year, or $71.3 per hour.
Multimedia Generative AI Analyst - USA (Remote)

Multimedia Generative AI Analyst - USA (Remote)

Welo Data

Charleston, WV • Remote

$28.80/hr

Full-time

Posted 5 days ago

Job description

About the Role
We are hiring full-time Generative AI Analysts in the United States to support evaluation and quality review of AI-generated videos. In this role, you will review text prompts, watch corresponding video outputs, and identify mismatches, inconsistencies, and visual errors.
 
This role is best suited for candidates with strong attention to detail, excellent visual comprehension, and the ability to follow structured guidelines consistently. Candidates should be comfortable reviewing video content, comparing visual outputs against written prompts, and writing clear, concise annotations. A solid understanding of US driving and road rules is especially important, as some tasks may involve roadway scenarios, vehicle behavior, and basic robotics behavior in real-world environments. 
 
Project Details
  • Job Title: 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
  • Review text prompts and corresponding AI-generated video clips to identify mismatches, inconsistencies, and visual errors.
  • Tag specific parts of the prompt that do not match the video by identifying only the incorrect prompt text, rather than the full sentence unless needed.
  • Add visual or behavioral errors as annotation instances in annotation platform.
  • Write brief, clear descriptions for each error instance.
  • Avoid duplicate annotations by ensuring errors already captured as prompt mismatches are not added again as separate instances.
  • Evaluate video content for actions, context, motion, scene consistency, object behavior, and prompt alignment.
  • Apply project guidelines consistently across repetitive, detail-oriented tasks.
  • Use critical thinking and judgment to handle ambiguous scenarios and determine the most accurate ground truth.
  • Identify recurring or systematic errors across tasks and document examples for review.
  • Perform self-QA on completed work and correct errors before submission.
  • Participate in calibration sessions to align interpretation of guidelines and reduce annotator-to-annotator variance.
  • Incorporate feedback from quality reviews into subsequent work.
  • Support throughput and quality targets while maintaining accuracy at scale.
Requirements:
  • Experience in video annotation, multimedia annotation, content quality review, data labeling, computer vision labeling, Generative AI evaluation, or a closely related field.
  • Work Authorization is required for the role.
  • Strong attention to detail and ability to identify subtle errors, mismatches, and inconsistencies between prompts and videos.
  • Solid understanding of US driving rules, road behavior, traffic scenarios, and roadway conventions.
  • Good reading comprehension and ability to accurately compare written prompts against visual outputs.
  • Strong written communication skills in English, with the ability to describe errors clearly and concisely.
  • Ability to follow detailed guidelines consistently and maintain high accuracy across repetitive tasks.
  • Critical thinking and sound judgment when reviewing ambiguous or complex scenarios.
  • Basic understanding of robotics behavior in real-world environments.
  • Comfortable working in structured annotation platforms or similar tools.
  • Ability to maintain focus and quality while reviewing multimedia content for extended periods.
Ways to Stand Out from the Crowd
  • Prior experience evaluating AI-generated video, synthetic media, autonomous driving data, robotics scenarios, or traffic-related visual content.
  • Familiarity with US traffic rules, road signage, lane behavior, vehicle interactions, pedestrian behavior, and common driving scenarios.
  • Experience with QA, audit, or second-pass review workflows, including calibration, sampling, defect tracking, or error taxonomy development.
  • Ability to identify recurring model failure patterns across tasks or batches.
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.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.