Subject Matter Expert, Software Engineering (Contract)

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data Labeling, AI InfrastructureIndustries

Requirements

Candidates should possess proven expertise in one or more relevant domains such as Math, Programming, or Internationalization (i18n), along with experience designing or reviewing data workflows, educational content, or technical documentation, and strong communication and organizational skills. Prior experience with data labeling, ML/AI, or evaluation projects is a plus.

Responsibilities

As a Subject Matter Expert, you will design project structures and labeling workflows tailored to domain-specific goals, develop clear contributor guidelines and quality assurance frameworks, define ideal contributor profiles and task acceptance criteria, and collaborate with internal teams to ensure subject matter accuracy and relevance. You will also lead implementation of customer projects and manage our elite network of AI experts, overseeing 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects.

Skills

AI Data Projects

Math

STEM

Programming

Internationalization (i18n)

Labelbox

Provides data labeling solutions for AI

About Labelbox

Labelbox offers data labeling solutions for artificial intelligence applications, enabling businesses to label images, videos, text, and documents efficiently. Their platform allows users to create workflows that manage labeling tasks, which is crucial for industries like agriculture and healthcare that require large-scale data labeling for AI model training. Operating on a software-as-a-service (SaaS) model, Labelbox generates revenue through subscription fees and additional workforce services. The company's goal is to enhance AI development by providing high-quality data labeling solutions that streamline workflows.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$183.7MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Competitive remuneration

Flexible vacation policy (we don't count PTO Days)

401k Program

College savings account

HSA

Daily lunches paid for by the company (especially convenient while working from home)

Virtual wellness and guided meditation programs

Dog-friendly office

Regular company social events (happy hours, off-sites)

Professional development benefits and resources

Remote friendly (we hire in-office and remote employees)

Risks

Competition from Google's Gemini platform may attract potential Labelbox clients.

Rapid AI advancements by tech giants could outpace Labelbox's current offerings.

Reliance on partnerships like Google Cloud poses risks if these change or dissolve.

Differentiation

Labelbox offers advanced data labeling solutions for AI applications across multiple industries.

The platform supports complex NLP use cases, attracting tech and communication sectors.

Labelbox's SaaS model includes workforce augmentation services for scalable data labeling.

Upsides

Integration with Google Cloud enhances Labelbox's AI capabilities and client offerings.

Auto-computed metrics reduce error correction time and improve model performance.

Opening a London office facilitates European market expansion and better client service.

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