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Llm Remote Jobs in Washington (NOW HIRING)

AI Engineer

Washington, DC · Remote

$110K - $151K/yr

Priority is knowing how data works with llm models, and knowing what llm to use to resolve ... fully remote who can come in occasionally for meetings, MAYBE open to remote fully IV process- if ...

Posted today

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

AI Engineer

Washington, DC · Remote

$110K - $151K/yr

Priority is knowing how data works with llm models, and knowing what llm to use to resolve ... fully remote who can come in occasionally for meetings, MAYBE open to remote fully IV process- if ...

Posted today

Angular Developer

Dulles, VA · Remote

$56 - $68.50/hr

Remote - Design and build scalable, maintainable frontend systems using Angular (v16+). - Develop ... LLM-based assistants, and automation agents into frontend workflows and user experiences. - Work ...

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Llm Remote information

What is an llm remote job?

An LLM Remote job typically refers to a position that involves working with large language models (LLMs) such as OpenAI's GPT, but done remotely rather than in a traditional office setting. These roles can include positions like machine learning engineer, data scientist, prompt engineer, or AI researcher, all focused on developing, fine-tuning, or applying LLMs. Working remotely allows professionals to contribute to AI projects from anywhere, often collaborating with distributed teams and leveraging cloud-based tools. This flexibility is ideal for those who want to work in the AI field without relocating to a tech hub.

What is the difference between Llm Remote vs Legal Assistant?

AspectLlm RemoteLegal Assistant
Required CredentialsLaw degree (JD or equivalent), bar admission (preferred)High school diploma or associate degree, paralegal certification often preferred
Work EnvironmentRemote, flexible hours, legal firms or corporate legal departmentsOffice-based or hybrid, law firms, corporate legal departments
Industry UsageLegal research, document review, legal analysisLegal support, document preparation, client communication
Search & Comparison IntentUnderstanding remote legal roles, legal research jobsLegal support roles, paralegal or legal assistant positions

While both roles support legal operations, Llm Remote typically involves legal research and analysis requiring a law degree, often performed remotely. Legal Assistants focus on administrative and support tasks, usually in-office or hybrid, with less emphasis on legal research. The choice depends on your credentials and preferred work environment.

What are some common challenges faced by remote large language model (LLM) engineers, and how can they overcome them?

Remote LLM engineers often face challenges such as collaborating effectively across time zones, maintaining clear communication with distributed teams, and staying updated on rapidly evolving AI research. To overcome these obstacles, it's important to leverage collaboration tools (like Slack, GitHub, and video conferencing), establish regular check-ins, and participate in virtual knowledge-sharing sessions. Additionally, proactively seeking feedback and engaging with global AI communities can help remote LLM engineers stay aligned with team goals and industry trends.

What are the key skills and qualifications needed to thrive as an llm remote engineer, and why are they important?

To excel as an LLM Remote Engineer, a solid background in machine learning, natural language processing, and proficiency with programming languages like Python is essential, often supported by a degree in computer science or a related field. Experience with frameworks such as PyTorch or TensorFlow, familiarity with large language models (LLMs), and relevant cloud platforms (like AWS or Azure) are typically required, along with certifications in AI or ML being advantageous. Strong problem-solving, communication, and self-motivation are crucial soft skills for collaborating effectively across remote teams and driving innovation. These competencies ensure successful model development, deployment, and maintenance in a distributed work environment.
What are the most commonly searched types of Llm jobs in Washington? The most popular types of Llm jobs in Washington are:
What cities in Washington are hiring for Llm Remote jobs? Cities in Washington with the most Llm Remote job openings:
Infographic showing various Llm Remote job openings in Washington as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution.

LLM Model Response Evaluation

Lifted, an Upwork Company™

Laurel, MD • Remote

Full-time

Posted 10 days ago


Job description

Company Description

Our client, a global technology company that helps businesses build, train, and manage AI systems is looking for experts to evaluate model-generated content against defined quality rubrics such as factuality, consistency, aesthetics, and other evaluation criteria.

Job Description
  • Evaluating UI widgets, infographics, image factuality, side-by-side comparisons, and similar AI evaluation activities.
  • The work may involve text, images, audio, video, HTML widgets, PDFs, or combinations of these modalities.
  • The work is domain-agnostic and may cover topics across arts, culture, history, science, engineering, and more.
  • Resources will be expected to independently research unfamiliar topics using trusted sources before making evaluation decisions.
  • Each task will include detailed project guidelines within the evaluation platform.
Qualifications
  • 3+ years of hands-on experience in LLM / GenAI data evaluation.
  • Bachelor's Degree required 
  • Ability to research unfamiliar topics using trusted sources and make well-supported judgments.
  • Comfortable evaluating content across multiple modalities 

Additional Information

Flexible and remote work
Variable workload: Accept or decline tasks based on your availability
No guaranteed hours: Workload may vary weekly