[Remote] Technical Project Coordinator, Alignerr (Contract) at Labelbox

United States

Labelbox Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data AnnotationIndustries

Requirements

Candidates should have 2-4+ years of project management or operations experience and possess strong organizational, communication, and problem-solving skills. A detail-oriented approach with a focus on data quality and consistency is required, along with experience using productivity tools and/or data platforms, and familiarity with ML/AI data workflows is a plus.

Responsibilities

The Technical Project Coordinator will lead the execution of data labeling and evaluation projects, coordinate across teams to ensure high-quality output is delivered on time and at scale, and manage the elite network of AI experts. Responsibilities include setting up and managing evaluation workflows on the Labelbox platform, overseeing contributor operations, driving quality control and assurance processes, monitoring progress, troubleshooting issues, and communicating updates to stakeholders.

Skills

Project Coordination
Data Labeling
AI Development
Quality Control
Workflow Automation
Communication
Problem-Solving
Time Management

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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