Project Lead, Alignerr (Contract)

India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Data Labeling, AI & Machine LearningIndustries

Requirements

Candidates should possess 2-4 years of project management or operations experience, demonstrating strong organizational, communication, and problem-solving skills, along with a detail-oriented approach focused on data quality and consistency. Experience with productivity tools and/or data platforms is preferred, and familiarity with ML/AI data workflows is a bonus.

Responsibilities

As a Project Lead, you will set up and manage evaluation workflows on the Labelbox platform, oversee contributor operations to meet production goals, drive quality control and assurance processes, and monitor progress, troubleshoot issues, and communicate updates to stakeholders. You will also lead the implementation of customer projects within the Alignerr Services team, managing a network of AI experts to deliver high-quality human feedback crucial for AI advancement, and leveraging an AI-powered talent acquisition system to rapidly build and deploy expert teams.

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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