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Remote Llm Researcher Jobs in Ohio (NOW HIRING)

Crowe LLP

Lead Tax Services Senior Manager

Columbus, OH · On-site +1

$127K - $269K/yr

Master's in Taxation or LLM strongly preferred * Active CPA license required * Minimum of 8 years ... Excellent writing, communication, and tax research skills * Demonstrated leadership experience ...

Crowe LLP

Tax Manager, Real Estate & Construction

Columbus, OH · On-site +1

$107K - $140K/yr

Perform tax research and analysis to address complex client issues and identify tax-saving ... Master's in Taxation, LLM, or related advanced degree preferred. * CPA license required. * Minimum ...

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Remote Llm Researcher information

What is a remote LLM researcher?

A Remote LLM Researcher is a professional who studies and develops large language models (LLMs), such as GPT or BERT, while working from a location outside of a traditional office setting. Their work typically involves conducting experiments, analyzing data, improving model architectures, and publishing findings in the field of natural language processing (NLP). Remote LLM Researchers often collaborate with colleagues online, use cloud-based computing resources, and contribute to advancements in AI language technologies. This role requires strong programming skills, a background in machine learning, and the ability to work independently in a distributed team environment.

How do remote LLM researchers typically collaborate with cross-functional teams given their distributed work environment?

Remote LLM Researchers often work closely with data scientists, machine learning engineers, and product managers via virtual collaboration tools such as Slack, Zoom, and GitHub. Regular meetings, shared documentation, and project management platforms help maintain clear communication and alignment on research goals. Being proactive in sharing updates, seeking feedback, and participating in code reviews is essential for seamless teamwork. This collaborative approach ensures research findings can be effectively integrated into products and services, despite the physical distance.

What are the key skills and qualifications needed to thrive as a remote LLM researcher, and why are they important?

To thrive as a Remote LLM Researcher, you need a strong background in machine learning, natural language processing, and deep learning, typically supported by an advanced degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience working with large language models (LLMs), and knowledge of distributed computing tools are commonly required. Outstanding problem-solving abilities, communication skills, and the ability to work independently are essential soft skills for remote collaboration and research innovation. These skills enable effective development, evaluation, and deployment of advanced language models in a distributed team environment.

What is the difference between Remote Llm Researcher vs Remote Data Scientist?

AspectRemote Llm ResearcherRemote Data Scientist
CredentialsAdvanced degrees in AI, NLP, or related fields; research experienceDegree in Data Science, Statistics, or Computer Science; often includes certifications
Work EnvironmentResearch-focused, often in AI labs or tech companies, remote options availableData analysis, modeling, and visualization tasks, remote or on-site
Industry UsageAI research, NLP development, machine learning innovationBusiness analytics, predictive modeling, data-driven decision making

Remote Llm Researchers focus on developing and improving large language models through research and experimentation, often in AI labs. Remote Data Scientists analyze data to generate insights and build predictive models. While both roles require strong technical skills, Remote Llm Researchers are more research-oriented, whereas Remote Data Scientists focus on applying data techniques to solve business problems.

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Remote Llm Researcher jobs near you

Lead AI Engineer - AWS Platform

The Mutual Group

Columbus, OH • On-site, Remote

$130K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Key responsibilities

  • Build and deploy production-grade AI/ML solutions, including LLM-based applications and RAG pipelines.

  • Develop and integrate AI workflows with enterprise systems, ensuring data quality, traceability, and governance.

  • Implement MLOps practices by deploying, monitoring, maintaining, and managing versions of AI/ML models in production.

Job description

Department:

Information Technology

Job Description:

We are modernizing our data and analytics ecosystem by embedding AI and Generative AI across core insurance platforms (Policy, Claims, Billing, and Enterprise systems).

We are hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role is hands-on and focused on delivering real systems, while helping shape the foundation of our emerging AI platform.

This is not a pure research or modeling role. It is an engineering role focused on building, deploying, and operating AI systems in a regulated enterprise environment.

Work Arrangement:

  • Employees who live within 30 miles of the TMG home office are expected to follow a hybrid or in-office schedule. The initial training period may require additional inoffice days.

Accountabilities:

Build AI Systems (Core Responsibility)

  • Design and implement end-to-end AI/ML solutions including LLM-based applications

  • Build RAG pipelines using vector databases and enterprise data sources

  • Build machine learning models that automate their training, validation, monitoring, and retraining

  • Develop APIs and services to operationalize AI capabilities across the organization

Develop Data + AI Pipelines

  • Build ingestion for multimodal content and transformation pipelines for structured and unstructured data

  • Integrate AI workflows with enterprise systems (policy, claims, billing, etc.)

  • Ensure data quality, traceability, reliability, and governance in all AI pipelines

Operationalize Models (MLOps)

  • Implement CI/CD for AI/ML workflows

  • Deploy, monitor, and maintain models in production

  • Manage model versioning, performance monitoring, and retraining processes

Build on AWS

  • Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services

  • Contribute to evolving use of AWS Bedrock

Apply Responsible AI Practices

  • Implement guardrails for LLM-based systems (grounding, validation, safety)

  • Ensure secure handling of sensitive data (PII, financial, etc.)

  • Build systems aligned with enterprise governance and compliance standards

Lead by Doing

  • Provide technical guidance and mentorship to engineers

  • Contribute to engineering standards and reusable patterns

  • Partner with architects and business teams to deliver high-impact use cases

Qualifications:

Required

  • 10+ years in software, data engineering, 5 years AI/ML engineering

  • Hands-on experience building production AI/ML systems

  • Experience with RAG pipelines, LLMs, or NLP-based systems

  • Experience with AWS Bedrock or similar GenAI platforms

  • Experience with data pipelines and distributed systems

  • Experience deploying and operating systems in AWS

  • Working knowledge of MLOps practices (CI/CD, monitoring, versioning)

Preferred

  • Experience with vector databases (Pinecone, Weaviate, etc.)

  • Experience in regulated industries (insurance, finance, healthcare)

  • Exposure to microservices and containerized environments (Docker, Kubernetes)

Pay Range:

Anticipated Hiring Range:

  • $130,000 - $190,000 annual base salary depending on experience, qualifications, and geographic location

Benefits:

We are proud to offer our full-time regular employees a robust benefits suite that includes:

  • Competitive base salary plus incentive plans for eligible team members

  • 401(K) retirement plan that includes a company match of up to 6% of your eligible salary

  • Free basic life and AD&D, long-term disability and short-term disability insurance

  • Medical, dental and vision plans to meet your unique healthcare needs

  • Wellness incentives

  • Generous time off program that includes personal, holiday and volunteer paid time off

  • Flexible work schedules and hybrid/remote options for eligible positions

  • Educational assistance

Equal Opportunity Employer

The Mutual Groupis an Equal Opportunity Employer. It is our policy to recruit, hire, train and promote individuals in all job classifications without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or any other characteristic protected by law.

  • Know Your Rights: Workplace Discrimination is Illegal

  • Your Rights Under USERRA

Applicants requiring a reasonable accommodation due to a disability at any stage of the employment application process should contactTalent@themutualgroup.com.

Employment Verification

The Mutual Group participates in theE-Verifyprogram and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You are protected fromemployment discriminationbased on your citizenship status and national origin.

E-Verify Program Overview

E-Verify Participation Poster

All offers of employment are contingent upon the successful completion of a background check.

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