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    Best LLM Fine-Tuning Companies for USA Clients in 2026

    Compare the best llm fine-tuning service providers in the USA for 2026. Review specialties, locations and websites to shortlist the right partner.

    Use the comparison to build a shortlist, then review each company profile for its specialty, location and approach.

    Updated October 10, 2026

    LLM Fine-Tuning Companies Comparison Table 2026

    Side-by-side comparison of leading providers serving USA clients

    CompanySpecialtyLocationWebsite
    #1Scale AIData, RLHF and fine-tuning services for enterprise and government models.San Francisco, CA, USAVisit site
    #2TuringLLM training, fine-tuning and post-training data services.Palo Alto, CA, USAVisit site
    #3Snorkel AIProgrammatic data development for fine-tuning and evaluating LLMs.Redwood City, CA, USAVisit site
    #4PredibasePlatform and services for efficient fine-tuning and serving of open models.San Francisco, CA, USAVisit site
    #5Together AIFine-tuning and inference for open-source models at scale.San Francisco, CA, USAVisit site
    #6Invisible TechnologiesHuman-in-the-loop data and model training operations.New York, NY, USAVisit site

    Use this comparison to identify a shortlist, then review the detailed company profiles and USA buyer’s guide below.

    Detailed LLM Fine-Tuning company profiles

    Review the available information for each provider before requesting references, pricing and a project proposal.

    1.Scale AI

    San Francisco, CA, USA

    Data, RLHF and fine-tuning services for enterprise and government models.

    Visit website →

    2.Turing

    Palo Alto, CA, USA

    LLM training, fine-tuning and post-training data services.

    Visit website →

    3.Snorkel AI

    Redwood City, CA, USA

    Programmatic data development for fine-tuning and evaluating LLMs.

    Visit website →

    4.Predibase

    San Francisco, CA, USA

    Platform and services for efficient fine-tuning and serving of open models.

    Visit website →

    5.Together AI

    San Francisco, CA, USA

    Fine-tuning and inference for open-source models at scale.

    Visit website →

    6.Invisible Technologies

    New York, NY, USA

    Human-in-the-loop data and model training operations.

    Visit website →
    USA Buyer’s Guide

    How to choose the best LLM Fine-Tuning Companies

    Compare delivery models, rates, contracts and risk before selecting a provider for a US engagement.

    01

    How we shortlist LLM Fine-Tuning Companies firms for US clients

    This page lists 6 llm fine-tuning companies providers that work with United States clients. We look at delivery track record, whether the team overlaps with US time zones, how they scope and price work, and whether they can sign standard US contracts including an MSA, SOW, NDA and mutual indemnity.

    Firms currently featured include Scale AI, Turing, Snorkel AI, and Predibase.

    Delivery footprints on this list span San Francisco, CA, USA, Palo Alto, CA, USA, Redwood City, CA, USA, and New York, NY, USA, so you can choose between onshore US delivery, nearshore teams with 3–5 hours of overlap, and offshore teams priced for volume work.

    02

    LLM Fine-Tuning Companies rates and engagement models in the US

    US buyers usually see three engagement models for llm fine-tuning companies: fixed-scope projects, time and materials with a monthly cap, and a dedicated team retainer. Onshore US consultancies typically bill $158–$250 per hour, nearshore partners in Latin America $55–$95, and offshore teams $25–$55.

    Ask for a rate card by role, not a blended rate — a blended number hides how much of the work is done by junior staff. For fixed-bid work, insist on a written change-order process, and for retainers, confirm the notice period and any minimum monthly hours.

    Watch the total cost of ownership: discovery workshops, knowledge transfer, post-launch support, and the cost of taking the work back in house at the end.

    03

    Contracts, compliance and risk for US engagements

    Before you sign, confirm the provider carries professional liability (E&O) and cyber insurance with US-acceptable limits, and that the MSA clearly assigns IP ownership of all deliverables to you on payment.

    If the engagement touches regulated data, get the compliance posture in writing: SOC 2 Type II for the provider's own systems, HIPAA with a signed BAA for health data, CCPA/CPRA handling for California consumer data, GLBA for financial services, and background-check policies for anyone with production access.

    Also nail down worker classification and subcontracting — many US buyers require written approval before any part of the work is passed to a third party.

    04

    Questions to ask every llm fine-tuning companies provider

    • Who exactly will do the work, and can we interview them before the SOW is signed?
    • Show two references from US clients of our size in the last 18 months.
    • What is your escalation path, and what hours does your team overlap with ours?
    • How is scope change handled — hourly, change order, or absorbed?
    • What does handover look like if we end the engagement in 90 days?
    • Which parts of delivery are subcontracted, and to whom?

    Run the same questions past two or three firms from this list and compare the answers side by side — the differences are usually more revealing than the proposals.

    FAQ

    Frequently asked questions about LLM Fine-Tuning Companies

    Practical answers for USA clients comparing providers, pricing and engagement models.

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