Labelbox

Project Coordinator, Alignerr (Contract)

United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data Labeling, BiotechnologyIndustries

Project Coordinator - Labelbox

Position Overview

Labelbox is seeking a detail-oriented Project Coordinator to partner with our Project Managers to oversee data labeling and generation projects. This role serves as the primary point of contact for labelers, providing support and advocacy throughout their project lifecycle. The ideal candidate possesses project management experience and the ability to work independently to drive projects to successful completion, ensuring the highest quality data for our customers.

About Labelbox

Labelbox is building the critical infrastructure for breakthrough AI models at leading research labs and enterprises. Since 2018, we've pioneered data-centric approaches fundamental to AI development. We offer three integrated solutions for frontier AI development:

  • Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems for scalable, high-quality training data production.
  • Frontier Data Labeling Service: Specialized data labeling through Aligner, utilizing subject matter experts for next-generation AI models.
  • Expert Marketplace: Connecting AI teams with skilled annotators and domain experts for flexible scaling.

Why Join Us

  • High-Impact Environment: Operate like an early-stage startup, focusing on impact and offering expanded responsibilities and rapid career growth.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders.
  • Innovation at Speed: Celebrate ownership, speed, and impact, rewarding high agency and rapid execution.
  • Continuous Growth: Embrace continuous learning and problem-solving at the frontier of AI.
  • Clear Ownership: Drive results with autonomy and clear metrics for responsibility.

Responsibilities

  • Manage Data Projects: Partner with a Project Manager to oversee data labeling and generation projects from initiation to completion, ensuring quality standards and deadlines are met.
  • Delegate Tasks: Effectively assign responsibilities to team members for optimal resource utilization.
  • Community Management within Projects: Respond thoughtfully and promptly to team member questions regarding their projects.
  • Monitor Progress: Track project milestones and deliverables, adjusting plans as needed to meet objectives.
  • Quality Assurance: Implement and maintain quality control procedures to ensure the accuracy and reliability of data outputs.
  • Communication: Provide regular updates to stakeholders on project status, challenges, and achievements.

Requirements

  • Education: Bachelor’s degree (or equivalent experience) in Business Administration, Project Management, Computer Science, or a related field.
  • Experience: Previous experience in project management, preferably in data labeling.
  • Independence: Proven ability to work independently with minimal supervision.
  • Communication Skills: Fluent in English with excellent written and verbal communication skills.
  • Organizational Skills: Strong ability to manage multiple tasks and deadlines simultaneously.

Bonus Points

  • Experience in data annotation or working with machine learning datasets.

Employment Type

  • Project-based, paid hourly

Company Information

  • Company: Labelbox
  • Focus: Building critical infrastructure for AI development.
  • Services: Enterprise Platform & Tools, Frontier Data Labeling Service (Aligner), Expert Marketplace.

Skills

Project Coordination
Data Labeling
Project Management
Communication
Organization

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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