Remote Data Annotation Supervisor – 3D Image & Video Labeling Lead for AI Training Programs (Fully Remote) – arenaflex

About arenaflex

arenaflex is a global pioneer in autonomous vehicle technology, pushing the boundaries of artificial intelligence to create safer, smarter transportation solutions. With a relentless focus on innovation, arenaflex combines cutting‑edge hardware, sophisticated software, and world‑class data science to train neural networks that power next‑generation self‑driving systems. Our mission is to accelerate the world’s transition to sustainable, driver‑less mobility, and we do it by harnessing the power of data—accurate, high‑quality, and meticulously annotated. As a remote‑first organization, arenaflex offers a flexible work environment that empowers talent from every corner of the globe to contribute to a future where every road is autonomous.

Role Overview

We are seeking a seasoned Data Annotation Supervisor to lead a distributed team of Data Annotation Specialists who label 3D point clouds, images, and video streams for neural network training. This role sits at the intersection of data quality, AI research, and operational excellence. You will be responsible for ensuring that the annotation pipeline delivers precise, reliable ground truth data that fuels arenaflex’s Autopilot AI models. The position is fully remote, offering a competitive hourly rate of $30‑$40 and a comprehensive benefits package from day one.

Key Responsibilities

• Develop, implement, and continuously improve training programs for annotation specialists, aligning curriculum with evolving AI model requirements.
• Monitor daily performance metrics using proprietary annotation tools; generate and present weekly and monthly performance reports to senior leadership.
• Collaborate closely with engineering, product, and AI research teams to translate technical constraints into clear annotation guidelines.
• Identify and document labeling inefficiencies; propose process enhancements and contribute to the creation of best‑practice documentation.
• Allocate headcount across quality control and labeling functions, prioritize project queues, and ensure timely delivery of high‑quality annotated datasets.
• Maintain up‑to‑date operational documentation, SOPs, and training materials to support consistent execution across the remote workforce.
• Conduct bi‑annual performance reviews, monthly check‑ins, and provide mentorship to team leads and individual contributors.
• Recognize and reward top performers through structured recognition programs, fostering a culture of excellence.
• Accurately track time and attendance using the Kronos system, ensuring compliance with payroll and labor regulations.
• Lead cross‑functional initiatives that improve data integrity, throughput, and overall annotation quality, directly impacting the performance of arenaflex’s autonomous driving stack.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field.
• Minimum 3 years of experience managing medium‑sized teams (10‑30 members) in a manual‑operations environment, preferably within data labeling, content moderation, or quality assurance.
• Demonstrated ability to prioritize tasks, meet tight deadlines, and manage competing priorities with limited resources.
• Strong commitment to data accuracy and throughput, with a track record of delivering high‑quality results under pressure.
• Excellent problem‑solving skills and a rapid learning aptitude for new tools, processes, and AI concepts.
• Proven experience presenting complex technical topics to non‑technical audiences in a clear, concise manner.
• Proficiency with workflow management tools such as JIRA, Confluence, and advanced Excel (pivot tables, macros, data visualizations).
• Exceptional communication and interpersonal skills, with the ability to motivate and develop remote talent.

Preferred Qualifications

• Experience in autonomous vehicle data pipelines, computer vision, or machine learning annotation workflows.
• Familiarity with 3D point‑cloud annotation platforms and tools (e.g., Scale AI, Labelbox, or custom in‑house solutions).
• Background in process improvement methodologies such as Lean, Six Sigma, or Agile.
• Prior exposure to large‑scale data governance, data security, and compliance standards.
• Certification in project management (PMP, Scrum Master) or related disciplines.

Core Skills & Competencies

• Leadership & Mentorship: Ability to inspire, coach, and develop a geographically dispersed team.
• Analytical Thinking: Strong data‑driven mindset; comfortable interpreting performance dashboards and translating insights into action.
• Technical Acumen: Understanding of AI training pipelines, annotation formats (JSON, COCO, KITTI), and data quality metrics.
• Organizational Excellence: Mastery of time‑management, resource allocation, and workflow optimization.
• Collaboration: Proven track record of partnering with engineering, product, and research teams to align goals.
• Communication: Clear written and verbal articulation of policies, feedback, and strategic initiatives.
• Adaptability: Comfortable navigating a fast‑paced, evolving technology landscape.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Data Annotation Supervisor, you will have access to:

• Mentorship from senior AI scientists and product leaders who shape the future of autonomous driving.
• Internal training programs covering advanced topics such as deep learning, computer vision, and data engineering.
• Opportunities to transition into roles like Data Quality Manager, AI Project Lead, or Product Operations Director as you demonstrate impact.
• Participation in cross‑functional hackathons, innovation challenges, and industry conferences (travel budget provided).
• Tuition reimbursement for relevant certifications or graduate coursework.

Work Environment & Culture at arenaflex

Our remote‑first culture is built on trust, autonomy, and a shared passion for groundbreaking technology. Key cultural pillars include:

• Innovation Mindset: Every employee is encouraged to experiment, share ideas, and challenge the status quo.
• Inclusivity & Belonging: arenaflex celebrates diverse perspectives and provides resources for underrepresented groups.
• Work‑Life Integration: Flexible schedules, unlimited PTO for salaried roles, and a results‑oriented approach empower you to balance personal commitments.
• Collaboration Across Borders: Regular virtual coffee chats, global town halls, and team‑building activities keep remote teams connected.
• Health & Well‑Being: Comprehensive wellness programs, mental‑health resources, and virtual fitness classes support a holistic lifestyle.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly wage of $30‑$40, complemented by a robust benefits suite that begins on day one of employment:

• Medical, dental, and vision coverage with multiple plan options and zero payroll deductions for select plans.
• Health Savings Account (HSA) contributions for high‑deductible medical plans.
• Flexible Spending Accounts (FSA) for healthcare and dependent care.
• 401(k) plan with company match, Employee Stock Purchase Plan (ESPP), and additional financial incentives.
• Life, AD&D, short‑term and long‑term disability insurance at no cost to the employee.
• Paid parental leave, fertility, adoption, and surrogacy assistance programs.
• LGBTQ+ concierge services, employee assistance program, and mental‑health resources.
• Volunteer time off, pet insurance, and wellness stipends for weight‑loss or tobacco‑cessation programs.
• Backup childcare, commuter benefits, and a suite of voluntary insurance options (critical illness, accident, theft, etc.).

How to Apply

If you are driven by data integrity, love leading high‑performing remote teams, and want to play a pivotal role in shaping the future of autonomous transportation, we want to hear from you. Submit your resume and a brief cover letter outlining your relevant experience and why you’re excited about the mission at arenaflex.

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