Labelbox

Project Lead, Alignerr (Contract)

India

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

Project Lead - Data Labeling & Evaluation

Employment Type: Project-based, paid hourly

Position Overview

Labelbox is seeking a Project Lead to spearhead the execution of data labeling and evaluation projects crucial for AI development. This role involves coordinating cross-functional teams to ensure the timely and scalable delivery of high-quality output.

About Labelbox

Labelbox is at the forefront of building the critical infrastructure for AI development, empowering leading research labs and enterprises. Since 2018, we've championed data-centric approaches essential for AI advancement. 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 in an early-stage startup setting focused on impact and rapid responsibility expansion, with career growth tied to contributions.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders.
  • Innovation at Speed: Thrive in an environment that rewards ownership, speed, and impact.
  • Continuous Growth: Engage in continuous learning and problem-solving alongside curious minds.
  • Clear Ownership: Experience autonomy and drive results through well-defined responsibilities and metrics.

Role Responsibilities

  • Set up and manage evaluation workflows on the Labelbox platform.
  • Oversee contributor operations to meet production goals.
  • Drive quality control and assurance processes.
  • Monitor progress, troubleshoot issues, and communicate updates to stakeholders.

Requirements

  • 2–4+ years of project management or operations experience.
  • Strong organizational, communication, and problem-solving skills.
  • Detail-oriented with a focus on data quality and consistency.
  • Proficiency with productivity tools and/or data platforms preferred.

Bonus Points

  • Familiarity with ML/AI data workflows.

Alignerr Services at Labelbox

As part of the Alignerr Services team, you will lead customer project implementation and manage our network of AI experts. You'll oversee significant monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, directly contributing to quality improvements for Frontier AI Labs. You will leverage our AI-powered talent acquisition system and access to millions of specialized professionals to rapidly deploy expert teams for clients like Google and ElevenLabs, ensuring precisely aligned human data for breakthrough AI capabilities.

Company Information

  • Location: Dedicated tech hubs in San Francisco or Wrocław, Poland.
  • Work Style: Hybrid model with 2 days per week in the office.
  • Environment: Fast-paced and high-intensity, rewarding ownership and quick decision-making.
  • Growth: Career advancement opportunities linked to impact.
  • Vision: Contribute to building the foundation for humanity's most transformative technology, believing data is crucial for achieving artificial general intelligence.

Skills

Project Management
Data Labeling
AI Development
Coordination
Quality Control

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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