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Remote Data Collection Driver Jobs in Old Bridge, NJ

MLabs

Research Crawling Engineer

New York, NY · Remote

$100K/yr

Remote - Must have a 6 hour overlap with EST Remote | Full-time Compensation: $100K We are hiring ... Design high-throughput, fault-tolerant systems for data collection, managing volumes ranging from ...

Wood Plc

GIS Analyst

New York, NY · Remote

Customize GIS workflow and software programs for data collection, engineering, and environmental applications #LI-Remote Skills / Qualifications Required: * 2 - 5 years of GIS project experience * BA ...

UMT - Internal

Sr. Data Strategist

New York, NY · On-site +1

$100K - $125K/yr

Please note that this role demands four days in the office and one day remote. What You'll Do ... Creative thinking in data collection, manipulation, and application * Track record of cross ...

WES

Grants Associate (Remote)

Manhattan, NY · Remote

$48K - $59K/yr

USA - Remote Compensation: $48K - 59K USD Who We Are: World Education Services (WES) is a ... data collection. * Ensure accurate maintenance of grant records and donations documentation (e.g ...

TLA Tech

Data Specialist

New York, NY · Remote

Remote, USA Department: Customer Success About Syllo Syllo is defining the Litigation AI category ... Diagnose and resolve collection anomalies, processing failures, metadata errors, and production ...

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All JobsData Collection Driver JobsRemote Data Collection Driver JobsRemote Data Collection Driver Jobs in Old Bridge, NJ

Remote Data Collection Driver information

See Old Bridge, NJ salary details

$16

$25

$32

How much do remote data collection driver jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote data collection driver in Old Bridge, NJ is $25.90, according to ZipRecruiter salary data. Most workers in this role earn between $23.85 and $26.59 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Collection Driver vs Field Data Collector?

AspectRemote Data Collection DriverField Data Collector
CredentialsDriver's license, possibly a background checkSimilar credentials, often including a valid driver's license
Work EnvironmentPrimarily remote, traveling between locations, often using a vehicleOn-site at data collection points, often in various field locations
Employer & IndustryResearch firms, survey companies, market researchResearch organizations, government agencies, market research

The Remote Data Collection Driver and Field Data Collector roles share similarities in credentials and industry usage. The main difference lies in the work environment: Remote Data Collection Drivers primarily travel between locations using a vehicle, often working remotely, while Field Data Collectors typically work on-site at specific locations. Both roles are essential for gathering data in research and market analysis, but their daily tasks and settings differ significantly.

What are some common challenges faced by remote data collection drivers, and how can they be addressed?

Remote Data Collection Drivers often encounter challenges such as navigating unfamiliar routes, dealing with varied weather conditions, and ensuring data accuracy while on the move. To overcome these, drivers should familiarize themselves with route planning tools, maintain regular communication with their support team, and follow best practices for data verification. Staying organized and proactive helps ensure data is collected efficiently and safely, and most companies provide training and support to help drivers handle these challenges.

What is a remote data collection driver?

Remote Data Collection Drivers are professionals who operate vehicles equipped with specialized sensors or devices to gather data for various purposes, such as mapping, traffic analysis, or infrastructure assessment. Unlike traditional drivers, their primary responsibility is to follow predetermined routes while ensuring accurate data collection, often working independently and reporting findings digitally. This role may include using GPS equipment, cameras, or other technology to record information, and it often allows for flexible or remote scheduling. Remote Data Collection Drivers are typically employed by companies involved in geographic information systems (GIS), urban planning, or autonomous vehicle development.

What are the key skills and qualifications needed to thrive as a remote data collection driver?

To thrive as a Remote Data Collection Driver, you need a valid driver's license, a clean driving record, and strong navigation skills, often supported by familiarity with GPS and mapping technologies. Proficiency with mobile data collection devices, onboard cameras, and reporting software is typically required. Attention to detail, reliability, and strong time management help ensure accurate data collection and adherence to schedules. These skills are crucial for safely and efficiently gathering high-quality geographic or survey data to support organizational needs.
What are popular job titles related to Remote Data Collection Driver jobs in Old Bridge, NJ? For Remote Data Collection Driver jobs in Old Bridge, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Collection Driver jobs in Old Bridge, NJ look for? The top searched job categories for Remote Data Collection Driver jobs in Old Bridge, NJ are:
What cities near Old Bridge, NJ are hiring for Remote Data Collection Driver jobs? Cities near Old Bridge, NJ with the most Remote Data Collection Driver job openings:
Remote Data Collection Driver jobs near you
Infographic showing various Remote Data Collection Driver job openings in Old Bridge, NJ as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $53,863 per year, or $25.9 per hour.

Research Crawling Engineer

MLabs

New York, NY • Remote

$100K/yr

Other

Re-posted 15 days ago

Job description

Location: Remote - Must have a 6 hour overlap with EST

Remote | Full-time

Compensation: $100K

We are hiring on behalf of our client who is a technical infrastructure firm specializing in the delivery of massive-scale web data to organizations developing advanced artificial intelligence models. The organization supports high-capacity bandwidth-sharing networks and operates a distributed crawler capable of accessing high-quality public web data at a global scale. Additionally, the team has engineered sophisticated pipelines for the ingestion, segmentation, and annotation of billions of multimedia files, facilitating dataset creation for frontier research labs.

The organization operates as a lean, technical team that prioritizes speed and direct execution. As a Research Crawling Engineer, the successful candidate will design and operate large-scale web data acquisition systems. This role encompasses distributed systems, scraping infrastructure, and data pipelines, focusing on providing high-quality inputs for research and model development.

Key Responsibilities

  • Construct and maintain large-scale web crawlers across diverse domains.
  • Design high-throughput, fault-tolerant systems for data collection, managing volumes ranging from millions to billions of URLs per day.
  • Navigate anti-bot systems, rate limits, and dynamic, JavaScript-heavy websites.
  • Develop robust pipelines for data cleaning, deduplication, filtering, and normalization.
  • Build and maintain datasets specifically structured for research and machine learning model training.
  • Monitor and optimize crawl performance, coverage, and data quality through rapid iteration.
  • Collaborate with research teams to ensure data collection efforts align with modeling requirements.
  • Optimize infrastructure to ensure cost-efficiency, low latency, and reliability.

Requirements

  • Extensive programming experience in one or more of the following: Go, Rust, Python, Java, or C++.
  • Proven experience in building web crawlers or large-scale data pipelines.
  • Solid understanding of HTTP, networking protocols, and browser behavior.
  • Familiarity with distributed systems and parallel processing techniques.
  • Experience handling large datasets, ideally at the terabyte to petabyte scale.
  • Demonstrated ability to debug and maintain systems within unstable or adversarial environments.

Preferred Qualifications:

  • Experience with NLP pipelines or dataset curation for machine learning.
  • Familiarity with LLM pre-training data or retrieval systems.
  • Practical experience with headless browsers (e.g., Playwright, Puppeteer, or Chrome DevTools Protocol).
  • Knowledge of proxy systems, IP rotation, and large-scale request orchestration.
  • Background in data quality evaluation or benchmarking.
  • Experience running workloads on cloud or bare-metal infrastructure.

Benefits

  • Impactful Opportunity: Contribute to the development of a web-scale crawler and knowledge graph at the forefront of AI data accessibility.
  • High-Performance Culture: Join a lean, low-ego team that prioritizes high output and professional growth.
  • Remote Work: This position is part of a fully remote team, offering flexibility and autonomy.
  • Competitive Compensation: A package including a competitive salary, comprehensive benefits, and equity, commensurate with experience and the ability to operate at scale.

Interview Process

  1. Recruiter Coordination Call
  2. Hiring Manager Interview
  3. Founder / CEO Interview
  4. Secondary Executive Interview
  5. Final Interview


Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

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