
Labelbox

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About
Labelbox is a data factory for AI teams. It delivers innovative services and software to operate, build, or staff your modern AI data factory. It offers a comprehensive set of data solutions to help you operate, build, or staff your AI data factory. It allows you to access managed labeling services, build your own data factory and hire proven AI trainers.
Platform
Task
Features
• data curation
• model evaluation
• red teaming
• rlhf
• supervised fine-tuning
• alignerr connect
• data labeling services
• platform & tools
FAQs
How flexible is your labeling platform?
We offer a comprehensive suite of user-friendly labeling tools designed for both technical and non-technical team members. Our intuitive interface allows for easy creation of customized templates, accommodating a wide range of labeling tasks. From simple categorization to complex annotation, our platform supports RLHF, multimodal chat arenas, audio, video, documents and custom HTML templates.
Are there limitations on task complexity?
We pride ourselves on handling tasks of any complexity. Whether you need quick image tagging or in-depth content analysis that takes hours per item, our platform can accommodate your requirements. We've successfully managed projects ranging from summarizing lengthy articles to coding complex algorithms.
What sets your labeling services apart?
Our data labeling solution combines cutting-edge technology with a diverse, highly skilled workforce proficient in over 30 languages. We've built an in-house team of talented individuals from various backgrounds. We also operate Alignerr, one of the largest gen AI expert AI tutor network employing thousands of software engineers and PhDs. This approach ensures superior quality and cost-effectiveness for your data labeling needs.
How do you match labelers to specific projects?
We use a sophisticated matching system that aligns labelers' skills and experiences with project requirements. This ensures that your financial data is handled by those with relevant financial knowledge, your social media content is reviewed by active platform users, and your technical projects are assigned to individuals with appropriate STEM backgrounds. We believe this targeted approach significantly enhances the quality and accuracy of the labeling process.
Tell us about your labelers' backgrounds.
Our labeling team is composed of individuals from diverse professional and educational backgrounds. This includes researchers, educators, college students, gamers, software engineers and industry professionals across various fields. This diversity allows us to match projects with labelers who have relevant domain knowledge and experience.
Can you assist with creating labeling guidelines?
We're more than happy to collaborate on developing effective labeling guidelines tailored to your specific project needs. Our experience across various industries allows us to provide valuable insights for creating clear, concise instructions.
What languages are supported?
Our team covers a wide linguistic spectrum, with proficiency in over 30 languages. This includes major global languages below. 1. Italian 2. Japanese 3. Korean 4. Portuguese 5. Spanish 6. Vietnamese 7. Arabic 8. English 9. French 10. German 11. Hindi 12. Indonesian If you have specific language requirements, we're always ready to explore solutions.
How are labelers vetted?
At Alignerr, every candidate has to pass a role specific screening interview or assessment. Then, for every new project, the candidate has to pass a project specific assessment to participate in the production stream. The project specific assessment is typically a task to screen, measure and calibrate on accuracy using ground truth. Custom assessments can be made for enterprise customers.
How do you handle communication with labelers?
Our platform features robust communication tools, allowing for seamless interaction between you and the labeling team. This facilitates quick clarifications and feedback, improving overall project efficiency.
Is it possible to work with a consistent team of labelers?
Yes, we offer the option to create dedicated labeling teams tailored to your project's specific needs. These teams can be utilized across multiple projects, ensuring consistency and building domain expertise over time.
How do you scale the workforce?
We operate Alignerr, one of the largest networks of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise. While having a big network is essential, it is equally important to have a world class software platform and operational processes that ensure the highest quality data can be produced, consistently.
Is there a fully managed option available?
Absolutely. For clients with more intricate needs, we offer a comprehensive managed service. This includes assistance with guideline development, custom team assembly, quality control design, and dedicated project management with round-the-clock support.
What quality assurance measures do you employ?
Our quality control system is multifaceted, incorporating various techniques to ensure high-quality output. This includes the use of gold standard datasets, advanced outlier detection, AI-augmented labeling, and multi-tier review processes. We're committed to meeting and exceeding your quality expectations.
Do you support real-time labeling tasks?
We understand the importance of quick turnarounds in certain scenarios. Many of our clients require near real-time labeling, and we've optimized our processes to deliver results within seconds or minutes when needed. Platform has a real-time labeling feature and we can provide a 24/7 labeling workforce solution. For projects with strict time constraints, we're happy to discuss tailored solutions.
Do you offer API access?
Yes, we provide a robust API that allows seamless integration with your existing workflows. You can programmatically manage projects, monitor progress, and retrieve results, all while maintaining compatibility with our user-friendly interface.
Job Opportunities
AI Trainer Telerobotics Operator (Freelance)
Labelbox is the data factory for AI teams. It provides innovative services and software to operate, build, or staff your modern AI data factory.
Benefits:
Medical
Dental
Vision
Professional development
Employee paid life & disability life insurance policy. An insurance policy pays a sum of money either on the death of an insured person or after a set period.. Disability insurance replaces a portion of your income if you can't work because of illness or injury. disability insurance - provides a monthly income if you become disabled as a result of illness or accident. Paid time off - is paid time away from work that employees can use for any reason - vacation, illness, or appointments.Paid sick leave - is paid time off from work that workers can use to stay home to recover from an illness or to care for a sick family member.Paid vacation - is paid time off from work that workers can use for any purpose, such as vacation, rest, or relaxation. Paid holidays - are paid days off from work that workers get for holidays, such as New Year's Day, Memorial Day, and Christmas. Parental leave - is paid or unpaid time off from work to care for a new child. Bereavement leave - is paid or unpaid time off from work to grieve the death of a loved one. Jury duty leave - is paid or unpaid time off from work to serve on a jury. Military leave - is paid or unpaid time off from work for military service. Voting leave - is paid or unpaid time off from work to vote.
Responsibilities:
Ensure that robotic systems operate successfully in customer use cases via teleoperation with a focus on data gathering and data generation.
Run robotic systems continuously throughout the day, identifying bugs and technical issues and generating collected data for ongoing improvements.
Operate teleoperation equipment as needed to guide the robot through specific behaviors.
Follow proper equipment and robot maintenance procedures, including setup and operation.
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Associate Partner, Frontier AI
Labelbox is the data factory for AI teams. It provides innovative services and software to operate, build, or staff your modern AI data factory.
Experience Requirements:
2+ years of closing sales experience at a technology company and experience closing 6-7 figure enterprise contracts.
Experience managing a consultative sales cycle with executives at Fortune 50 companies.
Responsibilities:
Develop a Sales Pipeline: Identify key target accounts interested in generative AI solutions and create customized outreach strategies to build strong relationships.
Strategically Map Stakeholders: Identify decision-makers in AI adoption and devise a plan to secure their buy-in for generative AI services.
Lead and Manage the Sales Cycle: Tailor pitches and AI product demos to address the specific needs and challenges of each client.
Ensure Client Satisfaction: Collaborate with the Customer Success team during AI pilot phases to ensure a seamless transition to long-term AI service contracts.
Expand Client Accounts: Coordinate post-sales efforts to ensure successful AI deployment, enhance customer experience, and manage account growth and renewals.
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Business Development, Frontier AI
Labelbox is the data factory for AI teams. It provides innovative services and software to operate, build, or staff your modern AI data factory.
Experience Requirements:
1-2 years of sales experience
Responsibilities:
Manage your own sales and meetings pipelines in a specified territory
Discover new sales leads based on industry & account research (Linkedin Sales Navigator, ZoomInfo, internet research, etc)
Create strategic outreach campaigns (calls, emails, Linkedin, social selling, etc)
Qualify prospects/accounts through email, phone, Linkedin, etc
Manage prospects, accounts, and opportunities in Salesforce
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