E2F

Human-in-the-loop AI data services and localization (annotation, evaluation, translation in 200+ languages) for AI/LLM training. Now branded TrustScale. Founded 2004, San Jose. Remote-friendly.

Services AI Data Services / Localization
Visit E2F
★ ★ ★ ★ ★ New (0 reviews)
Remote-friendly (HQ San Jose, CA; global contributor network) HQ
51-200 company size
2004 founded

What is E2F?

E2F (TrustScale) provides human-in-the-loop data and localization services that power AI training and evaluation. In practice, it helps AI teams build the high-quality, human-generated and human-reviewed data that models need: data collection, annotation and labeling, dataset creation, and evaluation work such as rating and comparing model outputs, red-teaming, and quality review, across text, speech, and multilingual data. Alongside this AI-data work, E2F has a long heritage in language services: translation, localization, linguistic testing, and voice-over across 200+ languages and dialects, which is a natural fit for building and evaluating multilingual AI. Its AI-data offering is now branded TrustScale (the e2f.com site redirects to trustscale.ai). The way the work gets done is two-sided: a core corporate team runs the company, and a large, global network of vetted linguists, annotators, and subject-matter contributors performs much of the data and language work remotely. E2F, Inc. was founded in 2004 and is headquartered in San Jose, California, led by founder and CEO Michel Lopez. It is a privately held, founder-led company, and it has been recognized on Forbes' list of the Top 30 Best Companies for Remote Jobs, reflecting how much of its work is done by a distributed, work-from-anywhere community.

Mission & values

Provide the high-quality, human-in-the-loop data and multilingual language services that make AI and LLMs accurate, safe, and useful across languages.

Qualifications

E2F has two distinct tracks, and which one fits you depends on what you are looking for. The first is corporate and operational roles: program and project management, linguistic and data-quality leads, localization and language engineers, software and data engineering and tooling, sales and account management, and the usual company functions. These are typically remote-friendly. The second, and the one most job seekers on a remote board are after, is contributor work: E2F engages a global network of vetted freelance linguists, translators, annotators, data collectors, and evaluators (people who rate and compare AI model outputs, do red-teaming, transcribe, or provide language expertise). This contributor work is remote and work-from-anywhere, but it is usually project-based rather than a salaried job, and it is often language-specific (native or near-native fluency in a target language) or skill-specific (a domain like law, medicine, or coding for specialized AI evaluation). Application flow lives at e2f.com (which redirects to trustscale.ai) and its LinkedIn page; contributor signup is typically a separate path from corporate roles. Strong language skills, subject-matter expertise, or data/annotation experience are the key signals for contributor work.

Leadership

M

Michel Lopez

Founder & Chief Executive Officer

Founded E2F in 2004 and leads it as CEO, growing it from a language-services company into a human-in-the-loop AI data and localization business (now branded TrustScale) serving AI and LLM teams.

Hiring process

  1. 1

    Apply at e2f.com (redirects to trustscale.ai) or LinkedIn

    Corporate roles: browse and apply through the careers page or LinkedIn. Contributor work (linguist/annotator/evaluator): sign up through the contributor path, which is usually separate from corporate roles.

  2. 2

    Screening

    Corporate: recruiter screen on role fit, location, remote setup, and pay. Contributor: profile review plus language and/or skill assessment for the relevant work.

    About 7 days

  3. 3

    Assessment or interview

    Corporate: role-specific interviews (technical, linguistic, or commercial). Contributor: a language test, sample annotation, or qualification task to confirm quality for a project.

    About 10 days

  4. 4

    Onboarding to a project or role

    Corporate: team interviews and offer. Contributor: onboarding to a specific project with guidelines and tooling once qualified.

    About 10 days

  5. 5

    Work and payment

    Corporate: standard salaried employment. Contributor: per-project or hourly work with payment on the project terms; ongoing work depends on quality and project availability.

Funding

StageBootstrapped
Investors
Privately held, founder-led AI data and localization company

Awards & recognition

  • Named to Forbes' Top 30 Best Companies for Remote Jobs · 2026

    Forbes / E2F

  • AI data and localization services across 200+ languages (TrustScale) · 2026

    E2F

Company information

  • Industry: AI Data Services / Localization
  • Location: Remote-friendly (HQ San Jose, CA; global contributor network)
  • Founded: 2004
  • Company size: 51-200
  • Website: e2f.com ↗
  • LinkedIn: Company page ↗

Frequently asked questions

What does E2F do?
E2F (branded TrustScale for AI data) provides human-in-the-loop data and localization services for AI: data collection, annotation, dataset creation, and evaluation (rating and comparing model outputs, red-teaming, quality review), plus translation, localization, testing, and voice-over across 200+ languages. It builds and evaluates the human data that AI and LLMs need.
Is E2F a job or gig work?
Both. It has salaried corporate roles (project management, linguistics, engineering, sales, operations) that are remote-friendly, and a large global network of freelance contributors (linguists, annotators, evaluators) who do remote, project-based work. Contributor work is usually paid per project or hourly, not a fixed salary.
Who founded and runs E2F?
E2F, Inc. was founded in 2004 and is headquartered in San Jose, California. Its founder and CEO is Michel Lopez. It is a privately held, founder-led company, and its AI-data brand is TrustScale (e2f.com redirects to trustscale.ai).
Is E2F remote?
Yes. It has been recognized on Forbes' Top 30 Best Companies for Remote Jobs, and much of its work is done by a distributed, work-from-anywhere community. Corporate roles are remote-friendly; contributor linguist/annotator work is remote and project-based, often requiring a specific language or skill.
What do I need to do contributor work for E2F?
Usually native or near-native fluency in a target language, or a relevant skill or domain expertise (for example law, medicine, or coding for specialized AI evaluation), plus passing a language test or qualification task. Data-collection, transcription, annotation, and model-evaluation projects each have their own requirements.

Stay in the loop.

One email per week, 5 hand-picked roles.