Labelbox

Project Coordinator, Alignerr (Contract)

India

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

Project Coordinator - Labelbox

Position Overview

Labelbox is seeking a detail-oriented Project Coordinator to partner with our Project Managers in overseeing data labeling and generation projects. This role serves as the primary point of contact for our labelers, providing support and advocacy throughout their project lifecycle. The ideal candidate possesses project management experience, works independently, and is dedicated to ensuring project success and high-quality data delivery to our customers.

About Labelbox

Labelbox is building the critical infrastructure that powers breakthrough AI models for leading research labs and enterprises. Since 2018, we have pioneered data-centric approaches essential for AI development, with our work becoming increasingly vital as AI capabilities expand.

Labelbox offers 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, prioritizing impact and offering expanded responsibilities and rapid career growth tied to contributions.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders.
  • Innovation at Speed: Embrace ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
  • Continuous Growth: Engage in continuous learning and evolution, surrounded by curious minds solving complex AI challenges.
  • Clear Ownership: Enjoy autonomy and empowerment to drive results through well-defined responsibilities and metrics.

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 inquiries regarding their projects.
  • Monitor Progress: Track project milestones and deliverables, making necessary adjustments to meet objectives.
  • Quality Assurance: Implement and maintain quality control procedures to ensure the accuracy and reliability of data outputs.
  • Communication: Provide regular project status updates, challenges, and achievements to stakeholders.

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.

Application Instructions

  • (Information not provided in the original text)

Company Information

  • Company: Labelbox
  • Focus: AI Infrastructure, Data-Centric 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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