1

Data Collection Moderator Jobs in California (NOW HIRING)

Description The Study Moderator supports in-person user research and data collection studies within this client's Hardware Engineering organization. This role ensures smooth session execution ...

$65/hr

Conduct usability testing such as planning, protocol development, data collection sheets, moderator scripts, material development, study coordination, IRB submissions, managing participant ...

Data Collection Moderator information

What are Data Collection Moderators?

Data Collection Moderators are professionals responsible for overseeing and ensuring the quality of data gathered for research, analysis, or machine learning purposes. They review incoming data submissions, flag or remove inappropriate or inaccurate content, and ensure that data meets specific guidelines or standards. Their role often involves monitoring data collection processes, providing feedback to data contributors, and maintaining the integrity and reliability of datasets. Data Collection Moderators play a vital part in projects that rely on large-scale, high-quality data, such as AI training, academic research, or market studies.

What are some common challenges faced by Data Collection Moderators when ensuring data quality, and how can these be addressed?

Data Collection Moderators often encounter challenges such as inconsistent data entries, duplicate records, and varying data formats submitted by different sources. To address these issues, moderators need to maintain strict adherence to data validation protocols, collaborate closely with data contributors to clarify guidelines, and use specialized tools to automate error detection. Regular team meetings and ongoing training also help maintain high-quality standards and keep moderators updated on best practices.

What is the difference between Data Collection Moderator vs Data Annotator?

AspectData Collection ModeratorData Annotator
Primary RoleOversees data collection processes, ensures data quality, manages data collection teamsLabels and annotates data for machine learning models, prepares datasets
Required SkillsCommunication, data management, quality controlAttention to detail, understanding of annotation tools, basic technical skills
Work EnvironmentRemote or on-site, often in data or tech companiesRemote or on-site, typically in AI or machine learning projects
Common Industry UsageData collection, quality assurance, data managementData labeling, training datasets, AI model development

While both roles involve working with data, a Data Collection Moderator focuses on overseeing the collection process and ensuring data quality, whereas a Data Annotator is responsible for labeling data to train AI models. The roles often collaborate but require different skill sets and responsibilities.

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

To thrive as a Data Collection Moderator, you need strong attention to detail, analytical skills, and a background in data management or a related field. Familiarity with data collection platforms, spreadsheet software like Excel, and basic knowledge of database systems are typically required. Excellent communication, problem-solving abilities, and organizational skills help moderators effectively coordinate teams and maintain data quality. These competencies ensure the accuracy and reliability of collected data, which is critical for informed decision-making and project success.
What cities in California are hiring for Data Collection Moderator jobs? Cities in California with the most Data Collection Moderator job openings:
Infographic showing various Data Collection Moderator job openings in California as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.
Moderated Video Data Collection (Indoor Study) - San Francisco

Moderated Video Data Collection (Indoor Study) - San Francisco

Summa Linguae Technologies

San Francisco, CA

Other

Posted 17 days ago


Job description

Project Overview

We are seeking participants for a large-scale, in-person moderated video data collection study.

This is apaid indoor studywhere participants will record short video sessions using a secure data collection app on client-provided devices. A trained moderator will guide you throughout the process.

The goal is to collect high-quality video data to help improve AI systems in a responsible, inclusive, and representative way.

WhatYou'llBe AskedToDo

Live Session (Unmasked)

  • Record one short video (15-20 seconds).
  • Perform simple head movements.
  • Record atmultiple distances from the device.
  • Submit portrait photos of yourself (used to generate masks).
  • Each participant may completeone Live Session only.

Spoof Session (Masked)

  • Record short videos using printed or digital face masks.
  • Complete recordings under different lighting, distance, and framing conditions.
  • Participants may complete multiple Spoof Sessions using different masks.

All sessions:

  • Take place indoors only.
  • Follow specific lighting and positioning guidelines.
  • Are recorded on secure, client-provided devices.

Diversity & Demographic Representation (Key Requirement)

This project requires strong demographic diversity and inclusive representation.

We are actively recruiting participants across:

  • All adult age groups (18-30, 31-45, 46-64, 65+)
  • All genders (including non-binary participants)
  • All skin tone categories
  • Diverse hair styles, lengths, and colors.

We are particularly seeking representation from individuals identifying with the following ethnicities:

  • African /African Americanorigins
  • Middle Eastern & North African
  • Indigenous Peoples of North America
  • East Asian (e.g., China, Japan, Korea, Taiwan)
  • South Asian (e.g., India, Pakistan, Bangladesh)
  • Southeast Asian (e.g., Indonesia, Vietnam, Philippines, Cambodia)
  • European (e.g., UK, Italy, Poland, Greece,Turkey, etc.)
  • Latin American (e.g., Brazil, Mexico, Colombia, Peru, Guatemala)
  • Pacific Islander communities.

Participants may select multiple ethnic identities if applicable.

Authentic and balanced representation is essential for this study.

Application

As part of the screening process, we may request a recent photo/selfie to ensure balanced demographic representation.

This is used strictly for internal validation.

Location

This isanin-person indoor study - San Francisco

Compliance & Safety

  • All participants must sign an Informed Consent Form (ICF).
  • Sessions are moderated and supervised.

Who Should Apply

  • Adults 18+
  • Comfortable being recorded in a structured indoor setting.
  • Available for an in-person session.
  • Interestedin contributing to responsible AI development.

No prior experience isrequired.


Summa Linguae Technologies logo

About Summa Linguae Technologies

Sourced by ZipRecruiter

Our mission is to spark constant innovation. We enable each other to take full ownership of everything we do. We stay dynamic and challenge ourselves to master new skills—while having fun along the way. At Summa Linguae, we’re passionate about language and technology. We provide data solutions, localization, and managed services to many of the world’s biggest companies.

Industry

Translation services

Company size

51 - 200 Employees

Headquarters location

Westborough, MA, US

Social media