... Data and Labeling team. The team is responsible for training and evaluation data powering the ... Compensation will vary based on geographic location and level. Leveling, as well as positioning ...
Quick apply
... Data and Labeling team. The team is responsible for training and evaluation data powering the ... Compensation will vary based on geographic location and level. Leveling, as well as positioning ...
Project Perseus | Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)
Sunnyvale, CA · On-site
Welo Data is looking for detail-oriented individuals to join their team as Data Labeling Associates ... audit-based reviews of data and model behavior -- identifying patterns, edge cases, and failure ...
Project Perseus | Data Labeling Associate - Spanish Speakers (Human-in-the-Loop AI)
Sunnyvale, CA · On-site
Welo Data is looking for detail-oriented individuals to join their team as Data Labeling Associates ... audit-based reviews of data and model behavior -- identifying patterns, edge cases, and failure ...
Contract Labeling Associate
Pittsburgh, PA · On-site
The Labeling team delivers algorithms, tools and infrastructure to provide data labels that can be ... Update issue trackers based on defects found, summarize findings and write reports. * Follow up ...
Contract Labeling Associate
Pittsburgh, PA · On-site
The Labeling team delivers algorithms, tools and infrastructure to provide data labels that can be ... Update issue trackers based on defects found, summarize findings and write reports. * Follow up ...
AI/ML Data Contributor
Milwaukee, WI · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Milwaukee, WI · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Fargo, ND · Remote
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
Quick apply
AI/ML Data Contributor
Fargo, ND · Remote
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Miami, FL · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Miami, FL · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
Quick apply
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
Quick apply
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Indianapolis, IN · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Indianapolis, IN · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Indianapolis, IN · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Indianapolis, IN · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
Quick apply
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
New York, NY · Remote
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
Quick apply
AI/ML Data Contributor
New York, NY · Remote
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Salt Lake City, UT · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Louisville, KY · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
Data Analyst III (Hybrid)
Sioux Falls, SD · Hybrid
This role owns the data labeling required to transform raw data into structured insights that ... Builds and maintains rule-based reporting for internal stakeholders, including FCRM, Financial Ops ...
Data Analyst III (Hybrid)
Sioux Falls, SD · Hybrid
This role owns the data labeling required to transform raw data into structured insights that ... Builds and maintains rule-based reporting for internal stakeholders, including FCRM, Financial Ops ...
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
Quick apply
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Fargo, ND · Remote
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
Quick apply
AI/ML Data Contributor
Fargo, ND · Remote
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Jackson, MS · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Jackson, MS · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Philadelphia, PA · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
Philadelphia, PA · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
New Orleans, LA · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
AI/ML Data Contributor
New Orleans, LA · On-site
In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...
Home Based Data Labeling information
What is the difference between Home Based Data Labeling vs Data Annotation Specialist?
| Aspect | Home Based Data Labeling | Data Annotation Specialist |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Similar, often requires familiarity with annotation tools |
| Work Environment | Remote, home-based | Remote or office-based, depending on employer |
| Industry Usage | Common in AI training data preparation | Used in AI, machine learning, and data science projects |
| Search Intent | Looking for remote data labeling jobs | Searching for data annotation roles or projects |
Home Based Data Labeling involves individuals performing labeling tasks remotely, often with minimal credentials. Data Annotation Specialists may have similar skills but can work in more structured environments or with specialized tools. Both roles support AI development and are popular in remote work settings, with overlapping skills but slight differences in job scope and environment.
What cities are hiring for Home Based Data Labeling jobs? Cities with the most Home Based Data Labeling job openings:
What are the most commonly searched types of Data Labeling jobs? The most popular types of Data Labeling jobs are:
What states have the most Home Based Data Labeling jobs? States with the most job openings for Home Based Data Labeling jobs include:
Full-time
Posted yesterday
Job description
We are seeking an experienced and highly skilled operations leader to join the Perception Data and Labeling team. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside ML engineers, product owners, data engineers, and external partners to scope and deliver high-quality training and evaluation data to help the Zoox Perception AI team meet critical deadlines.
In this role, you will: Translate and coalesce company-wide feature requirements into concrete and comprehensive data deliverables
Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox’s AI perception stack.Â
Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox.Â
Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.
- Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the technology, autonomous driving, or AI/ML sectors.
- Perception & Sensor Domain Knowledge: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
- Strategic Capacity Planning: Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans. Experience managing resource allocation and throughput for large-scale workflows.
- Vendor Ecosystem Understanding: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
- Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support.
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.