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Remote Large Language Model Llm Jobs in Mobile, AL

Transaction Attorney

Mobile, AL · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Your work will directly improve how these systems identify risk and interpret contract language to ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Your work will directly improve how these systems identify risk and interpret contract language to ...

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Your work will directly improve how these systems identify risk and interpret contract language to ...

Built on Autodesk Revit, our platform automates the process of modeling, detailing, and ticketing ... Flexible working location (Open to onsite in Daphne, Alabama, hybrid and remote candidates in the ...

Right of Way (ROW) Agent (Field Based)

Mobile, AL · On-site +1

$34.19 - $40.20/hr

Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ... As the largest global pure play sustainability consultancy, we partner with the world's leading ...

Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

Right of Way (ROW) Agent (Field Based)

Mobile, AL · On-site +1

$34.19 - $40.20/hr

Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ... As the largest global pure play sustainability consultancy, we partner with the world's leading ...

Showing results 21-28

Remote Large Language Model Llm information

See Mobile, AL salary details

$14

$24

$38

How much do remote large language model llm jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote large language model llm in Mobile, AL is $24.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $28.85 per hour, depending on experience, location, and employer.

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are popular job titles related to Remote Large Language Model Llm jobs in Mobile, AL? For Remote Large Language Model Llm jobs in Mobile, AL, the most frequently searched job titles are:
What job categories do people searching Remote Large Language Model Llm jobs in Mobile, AL look for? The top searched job categories for Remote Large Language Model Llm jobs in Mobile, AL are:
What cities near Mobile, AL are hiring for Remote Large Language Model Llm jobs? Cities near Mobile, AL with the most Remote Large Language Model Llm job openings:

Transaction Attorney

micro1 AI

Mobile, AL • Remote

$90 - $130/hr

Part-time

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


Job description

Role Title: M&A Attorney


Role Type: Contractor


Location: Remote


We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.


Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 2 years in the M&A department of a corporate law firm.
  4. Familiarity with standard M&A agreements, including APAs and SPAs.
  5. Exceptional written and verbal communication skills with meticulous attention to detail.
  6. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  7. Demonstrated commitment to innovation at the intersection of law and technology.
  8. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience working with private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.