ZipRecruiter

Log In

2

Remote Generative Ai Jobs in Reston, VA (NOW HIRING)

Elder Research

AI/ML Engineer

Washington, DC · Remote

$144.77K - $187.45K/yr

... Polygraph Remote Type N/A Time Type Full time Description & Requirements Elder Research Inc., a ... generative AI, reinforcement learning, computer vision, or related disciplines. * Experience ...

New

Elder Research

AI/ML Engineer

Washington, DC · Remote

$144.77K - $187.45K/yr

... Polygraph Remote Type N/A Time Type Full time Description & Requirements Elder Research Inc., a ... generative AI, reinforcement learning, computer vision, or related disciplines. * Experience ...

New

Anika Systems

AI Engineer

Leesburg, VA · Remote

This position is currently remote; however, in accordance with federal contract requirements and ... The AI Engineers will design and deliver production AI systems across our commercial platform work ...

next page

Showing results 1-20

People also search for

All JobsGenerative Ai JobsRemote Generative Ai JobsRemote Generative Ai Jobs in Reston, VA

Remote Generative Ai information

See Reston, VA salary details

$16.6K

$154.2K

$198.7K

How much do remote generative ai jobs pay per year?

As of May 31, 2026, the average yearly pay for remote generative ai in Reston, VA is $154,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,400.00 and $174,300.00 per year, depending on experience, location, and employer.

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.

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 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.

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 are the most commonly searched types of Generative Ai jobs in Reston, VA? The most popular types of Generative Ai jobs in Reston, VA are:
What job categories do people searching Remote Generative Ai jobs in Reston, VA look for? The top searched job categories for Remote Generative Ai jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Generative Ai jobs? Cities near Reston, VA with the most Remote Generative Ai job openings:
Remote Generative Ai jobs near you
Infographic showing various Remote Generative Ai job openings in Reston, VA as of May 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 8% Physical, 11% Hybrid, and 81% Remote job distribution, with an average salary of $154,215 per year, or $74.1 per hour.

Freelance Legal Content Specialist

Uber AI Solutions

Washington, DC • Remote

Contractor

Posted 19 days ago

Job description

Freelance Legal Content Specialist
Uber AI Solutions is Uber's new marketplace connecting freelancers with Generative AI researchers. We're inviting experienced legal professionals to collaborate on a new client task at the frontier of GenAI. This is a freelance, paid opportunity—remote and designed for independent contractors who want to apply their legal expertise to help shape how AI handles complex regulatory and judicial language.
What you'll work on
-Developing prompt-specific writing rubrics that target high-level legal dimensions like legally concise terms, passive-voice formality, and syntactic precision.
-Writing complex system instructions and user queries that reflect realistic legal use cases, such as liability waivers, court motions, and affidavits.
-Evaluating and ranking responses from multiple LLMs based strictly on writing quality, ensuring legal conditions are logically airtight.
-Providing detailed justifications to explain why one model output outperforms another in a professional legal context.
-Identifying and extracting relevant context from source documents to ensure AI outputs respect the original voice of a witness or the specific requirements of a statute.
-Auditing high-priority materials to ensure they meet rigorous industry accuracy standards while avoiding "AI-speak."
Project details
Commitment: Tasks for this project will be available for 1 to 2 weeks, with the potential to expand into a multimonth opportunity. Task availability may fluctuate based on client demand.
Location: Remote (You must be based in the United States).
Earning opportunity: Task-based pay model. You will earn a competitive flat rate per completed task. For this project, the rate is $180 per task (with each task estimated to take approximately two hours).
Type: Freelance / Independent contractor.
Who we are looking for
-JD or LLM from an accredited institution (highly preferred).
-5+ years of experience in legal writing, litigation, or regulatory compliance.
-Exceptional ability to deconstruct complex legal writing into actionable quality dimensions.
-Strong analytical thinking and precision when performing side-by-side model comparisons.
-Comfort with digital tools, content platforms, and structured data formats (JSON).
Ideal backgrounds
-Practicing or retired attorneys.
-Paralegals with extensive drafting experience.
-Legal researchers and editors.
-Prompt engineering or legal response evaluation.
Why this matters
Your expertise will guide how AI systems handle the weight of legal language. By evaluating and refining legal prompts and responses, you'll help ensure that AI is not only accurate but also clear, safe, and legally sound for real-world application.

Apply