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Remote Data Collection Associate Jobs in Oakland, CA

San Francisco, CA About the Role HumanSignal specializes in operationally complex, multimodal data collection and annotation -- delivering the datasets that frontier AI research requires and remote ...

... Associate I (SRA I) to support clinical and experimental studies on trauma- and stressor-related ... data collection and analysis (e.g., Biopac , LSL , EDA, EMG, HR/HRV, facial coding, remote PPG from ...

Digital Forensics & eDiscovery Manager

Milpitas, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... remote collections, cloud and collaboration-platform evidence, AI-related evidence, and cross ... Oversee defensible forensic analysis, evidence preservation, data collection, review support ...

Senior Data Analyst (Remote)

San Francisco, CA · On-site +1

$101K - $127K/yr

This role is critical in managing the agency title remittances process, collection of current and ... Associates Degree in Accounting, Business or related field. * At least 5 year experience in ...

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

... of data collection. You will use a custom Python-based macro system and write HTML, text, and OCR parsers to interface with it. OCR and web-scraping experience required . This role can be remote.

Now Hiring: Remote Associate Attorney | California-Based | No Billables | No Sales New Gig ... Handle cases involving debt collection, financial hardship, or tenant rights * Use the firm ...

Associate

Walnut Creek, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create and maintain logs and tracking systems to manage data and documents from collection through ... Remote work and Flexible Work Schedules (for qualified positions) ADDITIONAL PERKS * Employee ...

New

Quality Improvement Coordinator

San Jose, CA · Remote

$23 - $25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position. The candidate must reside in the San Jose, CA area for occasional ... data collection, reporting, and improvement strategies. ESSENTIAL DUTIES AND RESPONSIBILITIES ...

Data Strategy Associate

San Francisco, CA · Remote

$18.75 - $24.50/hr

The Role This is a remote, flexible role for candidates who want hands-on exposure to real business problems. You may support market research, sourcing, analysis, outreach, business operations ...

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Showing results 21-40

Remote Data Collection Associate information

See Oakland, CA salary details

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$23

$35

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

As of Aug 19, 2026, the average hourly pay for remote data collection associate in Oakland, CA is $23.71, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $26.49 per hour, depending on experience, location, and employer.

What is a remote data collection associate?

A Remote Data Collection Associate is a professional responsible for gathering, organizing, and verifying data from various digital sources while working remotely. Their tasks often include conducting surveys, inputting information into databases, reviewing data for accuracy, and preparing reports for analysis. This role typically requires strong attention to detail, proficiency with data management tools, and the ability to work independently. Remote Data Collection Associates play a vital role in ensuring organizations have accurate and reliable data to inform decision-making.

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

To thrive as a Remote Data Collection Associate, you need strong attention to detail, data entry proficiency, and familiarity with research methodologies, often supported by a relevant degree or prior data handling experience. Experience using data collection tools such as survey platforms (e.g., SurveyMonkey, Qualtrics), spreadsheets, and CRM systems is typically required. Excellent communication, time management, and self-motivation are crucial soft skills for working independently and ensuring data accuracy. These abilities are essential for maintaining high-quality data, meeting deadlines, and supporting informed decision-making in remote environments.

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

Remote Data Collection Associates often encounter challenges such as ensuring data accuracy, managing time effectively without direct supervision, and communicating clearly with team members across different time zones. To address these challenges, it's helpful to establish a structured daily routine, use project management tools for tracking tasks, and participate in regular virtual check-ins with the team. Emphasizing attention to detail and proactively seeking clarification when needed can also help maintain high data quality and foster effective collaboration.

Strategic Projects Lead

HumanSignal

San Francisco, CA • Remote

$75K - $110K/yr

Full-time

Re-posted 23 days ago


Job description

About HumanSignal

Real-world data is the competitive edge in AI.

HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.


We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.


We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.


If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.

Level: Individual Contributor
Compensation: $75,000 – $110,000
Location: San Francisco, CA

About the Role

HumanSignal specializes in operationally complex, multimodal data collection and annotation — delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine — responsible for ensuring our clients get the highest-quality data on time, every time.

This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery — and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard — this is the role for you

What You'll Do

The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high — and that's the point.

What You'll Do
  • Own end-to-end execution of multi-million-dollar AI data programs, directly accountable for data quality, throughput, margins, and customer satisfaction
  • Design and manage data pipelines from customer specifications through final delivery, including taxonomy design, quality frameworks, and incentive structures
  • Manage and performance-manage 1,000+ distributed contributors — sourcing, vetting, training, and coaching domain experts at scale
  • Serve as the primary client contact for AI lab researchers: deliver consistent reporting, anticipate needs, and identify opportunities for program expansion
  • Run daily internal war rooms to stay ahead of quality issues, bottlenecks, and delivery risks
  • Partner cross-functionally with Engineering, Product, and Growth to build and improve operational infrastructure
  • Deploy AI automations and data-driven tools to improve output quality and pipeline efficiency
Required Qualifications
  • 2–4+ years in consulting, finance, startups, or operationally intensive roles
  • Strong analytical skills; proficiency in SQL or Python preferred
  • Track record managing complex, cross-functional projects with measurable outcomes
  • Entrepreneurial mindset; comfortable building from scratch in ambiguous environments
  • Exceptional communication skills and client-facing presence
Preferred Qualifications
    • Technical or STEM degree (CS, Data Science, Engineering, or related field)
    • Experience managing distributed workforces or marketplace operations
    • Exposure to AI data, RLHF, or model evaluation workflows
    • Background in investment banking, private equity, or management consulting

HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.