Senior Remote Data Entry Engineer – Advanced Level – AI & Self‑Driving Dataset Curation at careerzynith

About careerzynith – Pioneering the Future of Autonomous Mobility

careerzynith is a global leader in cutting‑edge autonomous vehicle technology, driving the next generation of self‑driving solutions that will reshape transportation worldwide. Our mission is to create safe, reliable, and scalable Full‑Self‑Driving (FSD) systems that empower millions of drivers and passengers. As part of our rapidly expanding Information Curation team, you will play a pivotal role in building the high‑quality data foundations that power our AI models, simulation environments, and validation pipelines. If you thrive in a fast‑paced, innovative environment and are passionate about turning raw data into actionable intelligence, careerzynith offers the platform to accelerate your career while contributing to a transformative industry.

Why This Role Matters – The Impact of Data on Autonomous Driving

Every mile driven by an careerzynith vehicle generates a wealth of sensor information—camera images, lidar point clouds, radar returns, and vehicle telemetry. Our Information Curation group transforms this raw data into clean, diverse, and annotated datasets that serve as the lifeblood of our AI training and testing cycles. By ensuring that the data is accurate, representative, and well‑structured, you directly influence the safety, performance, and regulatory compliance of careerzynith’s self‑driving technology. This is more than a data entry job; it is a mission‑critical position that fuels the evolution of autonomous mobility.

Key Responsibilities

Data Collection, Annotation, and Quality Assurance

• Design and execute large‑scale data acquisition strategies from both simulation assets and real‑world vehicle fleets.
• Develop and maintain robust pipelines for ingesting, cleaning, and normalizing multimodal sensor data (e.g., video, lidar, radar, GPS).
• Create detailed annotation guidelines and train internal teams on best practices for labeling objects, lane markings, traffic signs, and edge‑case scenarios.
• Implement automated validation scripts (Python, Pandas, NumPy) to detect anomalies, missing fields, and labeling inconsistencies.
• Collaborate closely with AI Researchers, Simulation Engineers, and Test Teams to ensure datasets meet model training and validation requirements.

Process Development & Documentation

• Draft comprehensive Standard Operating Procedures (SOPs) for data collection, annotation, and quality checks.
• Produce clear, concise training materials and conduct workshops for up to dozens of team members on new processes and tools.
• Maintain version‑controlled documentation (Git) to track changes in data schemas, annotation standards, and pipeline configurations.

Testing, Reporting, and Continuous Improvement

• Coordinate end‑to‑end testing cycles, including in‑vehicle data collection runs and offline validation of dataset integrity.
• Generate regular performance reports that highlight data quality metrics, bottlenecks, and actionable insights for cross‑functional stakeholders.
• Lead root‑cause analysis for data‑related blockers and propose corrective actions to accelerate project timelines.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Software Engineering, Physics, Mathematics, or a related technical field.
• Technical Skills: Proficiency in Python, Pandas, NumPy, SQL, Git, Grafana, and ElasticSearch.
• Domain Knowledge: Solid understanding of AI concepts, machine learning pipelines, and the fundamentals of autonomous driving.
• Experience: Demonstrated experience in large‑scale data handling, annotation workflows, or database engineering.
• Soft Skills: Strong analytical mindset, meticulous attention to detail, excellent written and verbal communication, and the ability to thrive in ambiguous, fast‑changing environments.

Preferred Qualifications

• Hands‑on experience with sensor data formats (e.g., ROS bag files, JSON‑C, protobuf).
• Familiarity with cloud storage solutions (AWS S3, GCP Cloud Storage) and distributed processing frameworks (Spark, Dask).
• Prior work with autonomous vehicle datasets such as Waymo Open Dataset, nuScenes, or internal careerzynith data.
• Experience leading cross‑functional training initiatives or mentoring junior engineers.
• Knowledge of data privacy regulations (GDPR, CCPA) and best practices for secure data handling.

Core Skills & Competencies

• Data Engineering: Ability to design scalable pipelines that move terabytes of sensor data efficiently.
• Problem Solving: Proactive identification of data quality issues and swift implementation of remediation strategies.
• Collaboration: Comfortable working with AI researchers, product managers, and test engineers to align data deliverables with project goals.
• Automation: Passion for building reusable tools and scripts that reduce manual effort and increase reproducibility.
• Adaptability: Flexibility to pivot priorities as new FSD challenges emerge and regulatory requirements evolve.

Career Growth & Learning Opportunities

At careerzynith, your career trajectory is shaped by your ambition. As you master data curation, you can progress into senior technical roles such as Lead Data Engineer, AI Dataset Manager, or transition into product‑focused positions like Autonomous Driving Product Owner. careerzynith invests heavily in continuous learning—employees receive access to internal AI labs, industry conferences, and tuition reimbursement for advanced degrees or certifications (e.g., AWS Certified Data Analytics, TensorFlow Developer). You will also have the chance to work on cross‑team innovation sprints that explore emerging sensor modalities, synthetic data generation, and next‑generation simulation platforms.

Work Environment & Culture at careerzynith

Our remote‑first culture empowers you to work from anywhere in the United States while staying tightly connected to global teams through virtual collaboration tools, regular video stand‑ups, and quarterly in‑person meet‑ups at careerzynith innovation hubs. We champion a diverse, inclusive workplace where every voice matters. careerzynith’s core values—Safety, Innovation, Integrity, and Collaboration—guide daily interactions, and we celebrate achievements through internal recognition programs, hackathons, and community outreach events.

Compensation, Perks & Benefits

careerzynith offers a competitive salary range of $35,000 – $45,000 per year, complemented by a comprehensive benefits package that begins on day one of employment. Highlights include:

• Health Coverage: careerzynith PPO and HSA plans – multiple clinical options with $0 premium.
• Family Support: Family‑building, adoption, fertility, and surrogacy benefits.
• Dental & Vision: Full dental (including orthodontics) and vision plans with $0 deductible options.
• Wellness Savings: careerzynith‑paid Wellbeing Bank account HSA contribution for high‑deductible health plans.
• Flexible Spending Accounts (FSA): Medical and dependent care FSAs.
• Inclusive Benefits: LGBTQ+ health services and support.
• Retirement & Equity: 401(k) with company match, Employee Stock Purchase Plan, and other financial incentives.
• Insurance Protection: careerzynith‑paid Basic Life, AD&D, short‑term and long‑term disability coverage.
• Employee Assistance Program: Confidential counseling and resources for personal challenges.
• Paid Time Off: Strategic PTO scheduling, paid holidays, and paid parental leave.
• Childcare & Nursing: Backup childcare services and lactation support resources.
• Voluntary Benefits: Supplemental accident, critical illness, legal services, pet insurance, and more.
• Wellness Programs: Weight‑loss, tobacco‑cessation, and mental‑health initiatives.
• careerzynith Children Program: Resources and activities for employees with children.
• Community Perks: Local commuter benefits and employee discount programs.

Commitment to Equality & Accessibility

careerzynith is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other characteristic protected by applicable law. careerzynith is also dedicated to providing reasonable accommodations for individuals with disabilities throughout the recruitment process. If you require assistance, please let us know.

How to Apply

Ready to shape the future of autonomous mobility? Click the link below to submit your application and join careerzynith’s mission‑driven team of innovators.

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Take the Next Step

If you are excited by the prospect of turning massive streams of sensor data into the high‑quality training material that powers the world’s most advanced self‑driving systems, careerzynith wants to hear from you. Bring your expertise, curiosity, and collaborative spirit, and together we will accelerate the journey toward a safer, driver‑less future.