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Flexible Ai Data Collection Jobs (NOW HIRING)

Data Strategy Associate

San Jose, CA · On-site

$100K - $180K/yr

Report deployment progress and metrics to the AI Data Collection Manager Requirements: * 3-5 years in program management (especially for operations), consulting, investment banking, startup project ...

Report deployment progress and metrics to the AI Data Collection Manager Requirements: * 3-5 years in program management (especially for operations), consulting, investment banking, startup project ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

AI Data Operations Lead

San Jose, CA · Hybrid

$175K - $200K/yr

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... This position is ideal for college students , retirees , or anyone looking for flexible part-time ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... This position is ideal for college students , retirees , or anyone looking for flexible part-time ...

MH · On-site

The project is expected to last from 3 to 6 months and will cover different data collection areas ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... This position is ideal for college students , retirees , or anyone looking for flexible part-time ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... This position is ideal for college students , retirees , or anyone looking for flexible part-time ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... This position is ideal for college students , retirees , or anyone looking for flexible part-time ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... This position is ideal for college students , retirees , or anyone looking for flexible part-time ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... This position is ideal for college students , retirees , or anyone looking for flexible part-time ...

GDCC is one of the largest global data collection companies for Market Research. We're currently ... This position is ideal for college students , retirees , or anyone looking for flexible part-time ...

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Flexible Ai Data Collection information

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How much do flexible ai data collection jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for flexible ai data collection in the United States is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $25.96 per hour, depending on experience, location, and employer.

What is Flexible AI Data Collection?

Flexible AI Data Collection refers to gathering and preparing various types of data—including text, images, audio, or video—for use in training artificial intelligence (AI) systems. These roles often involve tasks like labeling data, transcribing audio, or categorizing images. The 'flexible' aspect means that work schedules and project types can vary, allowing contributors to choose tasks that fit their availability. Such positions are essential for improving AI accuracy and are typically offered remotely by tech companies or data annotation platforms.

What are the key skills and qualifications needed to thrive as a Flexible AI Data Collection Specialist, and why are they important?

To thrive as a Flexible AI Data Collection Specialist, you need strong analytical abilities, attention to detail, and familiarity with data management, often supported by a background in computer science or related fields. Proficiency with data annotation tools, spreadsheet software, and sometimes knowledge of programming languages like Python is typically required. Excellent communication, adaptability, and time management are standout soft skills in this role. These capabilities are crucial for ensuring accurate, high-quality datasets that power effective AI model development.

What are some common challenges faced in a Flexible AI Data Collection role, and how can they be managed?

In a Flexible AI Data Collection position, one of the main challenges is ensuring data quality and consistency while working independently or on varying schedules. Since tasks often involve labeling or collecting data from diverse sources, attention to detail and following precise guidelines are crucial. Communication with project managers or team leads is important when clarifications are needed, and staying organized helps manage multiple tasks efficiently. Regular feedback sessions and utilizing available support resources can help address challenges quickly and maintain high standards.

What is the difference between Flexible Ai Data Collection vs Data Annotator?

AspectFlexible Ai Data CollectionData Annotator
CredentialsBasic technical skills, familiarity with data collection toolsAttention to detail, understanding of annotation guidelines
Work EnvironmentRemote or on-site, often involves fieldwork or online platformsPrimarily remote, working with annotation software
Industry UsageAI, machine learning, data servicesAI, machine learning, data labeling
Common TasksGathering and organizing data from various sourcesLabeling and annotating data for model training

Flexible Ai Data Collection involves gathering raw data from multiple sources, focusing on data acquisition. In contrast, Data Annotator specializes in labeling and preparing data for AI models. Both roles are essential in AI development but differ in their core responsibilities and skill requirements.

More about Flexible Ai Data Collection jobs
What cities are hiring for Flexible Ai Data Collection jobs? Cities with the most Flexible Ai Data Collection job openings:
What are the most commonly searched types of Ai Data Collection jobs? The most popular types of Ai Data Collection jobs are:
What states have the most Flexible Ai Data Collection jobs? States with the most job openings for Flexible Ai Data Collection jobs include:
Infographic showing various Flexible Ai Data Collection job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 30% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $52,640 per year, or $25.3 per hour.
Data Strategy Associate

Data Strategy Associate

Figure

San Jose, CA • On-site

$100K - $180K/yr

Full-time

Posted 27 days ago


Job description

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration.
We are looking for a Data Strategy Associate for the Robot Data Collection team. You will be responsible for orchestrating the end-to-end operational execution of enabling our offsite data collection operations.
Responsibilities:
Specific responsibilities include:
  • Own end-to-end execution of running robot data collection in diverse residential homes (e.g., deployments-scheduling dates, managing bookings, and ensuring sites are ready for data collection)
  • Coordinate and manage site staging contractors and prop teams across multiple concurrent deployments
  • Interface with service teams to align robot logistics with deployment schedules
  • Track deployment timelines, budgets, and status; proactively flag risks and resolve blockers
  • Build and maintain operational processes, trackers, and documentation to scale collection operations efficiently
  • Report deployment progress and metrics to the AI Data Collection Manager

Requirements:
  • 3-5 years in program management (especially for operations), consulting, investment banking, startup project management, or similar roles
  • Excellent problem-solving and decision-making abilities
  • Excellent communication skills especially using data
  • Able to work well under pressure while managing competing, time-sensitive demands
  • Proficiency in Google Workspace (e.g., Sheets) and operational management tools
  • Low ego, team player with can-do attitude

Bonus Qualifications:
  • Experience with robotics or AI data collection.
  • A passion for helping scale the deployment of learning humanoid robots.

The US base salary range for this full-time position is between $100,000 - $180,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.