Data Labeling Lead - Computer Vision
Los Angeles
Full Time Senior-level / Expert USD 50K - 150K
ThreeV
ThreeV's Multi-Sensory Asset Intelligence Platform transforms sight into Intelligence for Power & Utilities, Oil and Gas, and other asset heavy industries. Using advanced Computer Vision and AI we help bring AI Insights into your inspection...Company Overview
ThreeV Technologies, Inc. is an early-stage venture backed startup. We’re developing a Multi-Sensory Asset Intelligence Platform to revolutionize asset-heavy sectors like Power & Utilities, Renewables and Public Infrastructure. Our goal is to become the B2B Perplexity AI for the physical world. The ThreeV platform uses frontier AI techniques like customized Large Language Models as well as applying the latest computer vision model architectures to drastically improve the end-to-end inspection process. This allows customers to cut Operations & Maintenance costs, streamline inspection decisions, and improve data accuracy to prevent asset failures. Global high-profile safety incidents like wildfires over recent years underscore the urgent need for our platform, making it not just innovative but essential.
Job Summary
We are scaling our data labeling operations and looking for an experienced Data Labeling Lead to oversee the image labeling processes that power our computer vision projects. Reporting to the Senior Technical Project Manager for Data Science, you will play a critical role in working with customer and ThreeV data to generate the high-quality labels needed to train, fine-tune and improve our computer vision algorithms applied to real world social impact-oriented use cases. Your expertise in labeling workflows, tools, and internal/external team management will help accelerate our platform’s success and maximize the value we deliver to clients.
Key Responsibilities
Oversee and manage large scale image labeling workflows, ensuring accuracy, efficiency, and consistency.
Develop detailed labeling instructions in collaboration with data scientists, subject matter experts (SMEs), and customers.
Manage and coordinate vendor labeling teams to meet project timelines and quality benchmarks.
Perform research and use customer feedback to identify and adopt the latest labeling techniques, enhance annotation accuracy and improve our labeling tooling and infrastructure.
Conduct training sessions for both internal and external labelers, ensuring they are proficient in the required tools and methods.
Lead multiple projects simultaneously, using excellent time management and organizational skills to balance priorities.
Apply critical thinking to solve labeling challenges and support the continuous improvement of our machine learning models.
Review labelled images periodically and work in tandem iteratively with the labelling team.
Minimum Qualifications
5+ years of experience managing labeling teams delivering high volume annotation projects.
7+ years of hands-on experience in labeling for machine learning, ideally for computer vision.
Strong experience using multiple labeling tools (e.g., CVAT, Encord, etc.) and platforms.
Excellent communication and leadership skills, with the ability to work across partners, customers, technical teams, and company leadership.
Solid understanding of computer vision and machine learning principles as they relate to labeling projects.
Preferred Qualifications
Prior work in the Power & Utility industry is a significant plus and profiles will be prioritized.
Experience working closely with data scientists and machine learning engineers, particularly in projects involving physical assets and infrastructure inspections.
Experience operating in agile and dynamic development environments such as early-stage startups.
Education
Bachelor’s degree minimum, preferably in a relevant field such as: Computer Science, Data Science, Engineering, Information Systems, or a related technical or scientific discipline. Other educational backgrounds are encouraged to apply especially if Minimum or Preferred Qualifications above are met.
A Master’s degree is preferred but not required, especially if the candidate has extensive practical experience in labeling workflows and leading teams.
Work Environment
ThreeV.ai is a remote-first company, with our primary base in Los Angeles, CA. We are supportive of remote work, providing flexibility to our team to work from wherever they prefer. We also believe in the value of in-person connections. To facilitate this, we hold multiple all-hands team offsite meetings each year, fostering collaboration and team cohesion. Our work environment is a balance between remote flexibility and in-person interaction for moments that matter, aiming to create a productive and connected global team.
Company Culture and Values
Our company values go by the acronym M.M.M. These values are simple and provide a foundation of how we work both with each other and with customers and partners.
Mission
Our customers are working in an era of ever-increasing demand for power and climate change. Many have aging grid infrastructure, a workforce that is changing rapidly as workers retire, and ever-increasing O&M costs.
Our mission is to understand our customers’ biggest challenges and solve them with our Insights Automation Platform. We save lives, we help keep the lights on, and we help our customers do more with less in their O&M organizations.
Moral Integrity
Uncompromising commitment to honest and ethical behavior, always and without exception. We want all employees to be direct and provide open feedback regardless of level. We seek leaders who lead without titles, maintaining a flat organization to achieve our mission effectively.
Mastery
We invest in your ongoing mastery and encourage sharing your skills with the world, helping fuel your passion for your craft, encouraging constant learning, and pushing your field forward. Mastery is about more than just your craft, it is also how you bring it to others through collaboration and communication.
Application Process
Initial Screening Interview
Labeling Instruction Assignment
Team Interview
Final Interview
Equal Opportunity Employer Statement
ThreeV is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace, and we encourage applications from candidates of all backgrounds. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. At ThreeV, we value the strengths and perspectives that a diverse workforce brings to our organization, and we believe that diversity enhances our ability to serve our clients and achieve our mission. All qualified applicants will receive consideration for employment without regard to any of the characteristics mentioned above. We are dedicated to providing reasonable accommodations for individuals with disabilities in our application process and during employment. If you need assistance or an accommodation due to a disability, please let us know. We look forward to considering your application and welcoming you to our team.
Tags: Agile Architecture Computer Science Computer Vision Engineering LLMs Machine Learning ML models Research
Perks/benefits: Career development Startup environment
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