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Labelling Jobs (NOW HIRING)

Labeling Associate

Totowa, NJ · On-site

$17.50/hr

Labeling Associate Reports to: Line leader/Production Supervisor Department: Operations - Production Management Responsibility Summary : The Labeling Associate is responsible for the accurate ...

This person labels images & videos that contribute to our deep learning network. In this role you will work with in-house tools to label data coming directly from the fleet of vehicles and Optimus ...

The Labeling Specialist ensures that all labels meet FDA and other regulatory requirements, supports product lifecycle activities through PLM/QMS platforms, and contributes to high-quality ...

Label Operator

Lewisville, TX · On-site

$14.50/hr

Accurately print and apply product labels on packaged food items * Verify label information matches product specifications and regulatory requirements * Ensure proper placement and adhesion of labels ...

Accurately print and apply product labels on packaged food items * Verify label information matches product specifications and regulatory requirements * Ensure proper placement and adhesion of labels ...

Labeling Specialist: This position will be a subject matter expert in Medical Device labeling regulations and standards. They will be responsible for planning, development and execution of product ...

The Labeling Specialist is responsible for creating, revising, and maintaining labeling and packaging art files throughout the product lifecycle, ensuring compliance with regulatory requirements for ...

Labeling Specialist

Cupertino, CA · On-site

$62 - $67/hr

Bachelor's Degree, or equivalent experience. * 2+ years of medical device labeling experience. * Knowledge of domestic and international medical device regulatory requirements for product labeling ...

Conceptualizes multi-lingual packaging/labeling symbols, colors and graphics to create images and combinations that are original, visually appealing and competitive in the marketplace. Documents ...

Labeling Specialist: This position will be a subject matter expert in Medical Device labeling regulations and standards. They will be responsible for planning, development and execution of product ...

Labeling Associate

Brooklyn, NY · On-site

$17.50/hr

This role focuses on applying labels to packaging such as bags and jars, preparing finished goods, and keeping production moving smoothly. No design experience required. This is an active, on your ...

Manage Labeling data collection activities and provide requested reports. Maintain labeling project documentation, plans and reports. Provide general administrative back-up as required. Provide ...

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Labelling information

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$11

$17

$22

How much do labelling jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for labelling in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.75 per hour, depending on experience, location, and employer.

What skills are needed for labeling jobs?

Labeling jobs require attention to detail, accuracy, and good organizational skills to ensure data is correctly categorized. Basic computer literacy and familiarity with labeling tools or software are also important, along with the ability to work efficiently within deadlines.

What are some common challenges faced in a labelling role, and how can they be overcome?

A common challenge in labelling roles is maintaining accuracy and consistency, especially when handling large volumes of products or data. Attention to detail is crucial, as errors can affect compliance, safety, or downstream processes. To overcome these challenges, organizations often implement quality checks, clear guidelines, and ongoing training. Regular communication with supervisors and team members also helps clarify expectations and quickly resolve any uncertainties.

What is a labelling job?

A labelling job involves applying labels or tags to products, packages, or data to identify, categorize, or organize them. It often requires attention to detail and may involve using tools like label printers or software, with tasks performed in warehouses, manufacturing, or data entry environments.

What are labelling jobs?

Labelling jobs involve identifying and tagging data—such as images, text, audio, or video—with relevant information or categories. This process is essential for training machine learning models, as the labelled data is used to teach algorithms how to recognize patterns and make accurate predictions. Labelling tasks can range from simple image annotation to more complex tasks like transcribing audio or categorizing content. Often, these positions are remote and may be offered by companies building AI systems or data platforms. Attention to detail and the ability to follow guidelines are important skills for labelling jobs.

What jobs pay $700 a day?

In labeling or related jobs, earning $700 a day typically requires specialized skills, experience, or working as a freelancer or contractor. High-paying roles may include freelance project managers, quality control consultants, or specialized technical roles in manufacturing or logistics, often involving overtime or high-volume work. Such earnings are less common in standard labeling positions and usually depend on the industry, location, and individual expertise.

What are the 4 types of Labelling?

In labelling jobs, the four main types are product labelling, packaging labelling, informational labelling, and safety labelling. These involve applying labels that provide product details, instructions, warnings, or branding, often requiring attention to detail and knowledge of regulatory standards. Workers may use tools like printers or label applicators and need to ensure accuracy and compliance.

What is the difference between Labelling vs Packaging Operator?

AspectLabellingPackaging Operator
Required credentialsTypically no formal certifications, but attention to detail is essentialMay require safety training or certifications related to machinery
Work environmentIndoor, detail-oriented, quality control settingIndoor, active environment operating packaging machinery
Employer and industry usageManufacturing, food, pharmaceuticals, consumer goodsManufacturing, food, pharmaceuticals, consumer goods
Common search and comparison intentUnderstanding labeling roles and responsibilitiesUnderstanding packaging processes and machinery operation

Labelling involves applying labels to products or packaging, focusing on accuracy and compliance. Packaging Operators handle machinery to package products, ensuring efficiency and safety. While both roles are integral to manufacturing, labelling emphasizes detail and quality control, whereas packaging operators focus on operational efficiency and machinery handling.

What are the key skills and qualifications needed to thrive as a Labelling Specialist, and why are they important?

To thrive as a Labelling Specialist, you need attention to detail, knowledge of regulatory requirements, and often a background in science or quality assurance. Familiarity with labelling software, document management systems, and regulatory databases is typically required, along with certifications like RAC (Regulatory Affairs Certification) being advantageous. Strong organizational skills, effective communication, and the ability to work cross-functionally are important soft skills for this position. These skills ensure accurate, compliant, and timely product labelling, which is critical for regulatory approval and market success.
More about Labelling jobs
What cities are hiring for Labelling jobs? Cities with the most Labelling job openings:
What are the most commonly searched types of Labelling jobs? The most popular types of Labelling jobs are:
What states have the most Labelling jobs? States with the most job openings for Labelling jobs include:
Infographic showing various Labelling job openings in the United States as of July 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $36,004 per year, or $17.3 per hour.

Software Engineer, Labelling, Data & Automation

Waabi

Pittsburgh, PA • On-site, Remote

$127K - $225K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology.  The Labelling & Data Automation team plays a critical role in Waabi's training pipeline.  We are one of the first steps in the process of training machine learning models and are responsible for building practical, scalable tools and automation for extracting interesting and relevant data, creating high-quality ground truth labels, and providing this data to our expert machine learning scientists and engineers.
 

You will..

- Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator. 

- Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected

- Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system

- Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects

- Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement

- Deploy open-set / embedding models to our production environment - empowering new search and curation modalities

- Champion engineering excellence, ensuring high-quality, well structured, and tested code.

- Contribute to project roadmap planning, prioritization, and delivery.

 

Qualifications: 

- 4+ years of industry experience.

- Bachelor's in computer science, engineering, machine learning, or a related technical discipline.

- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.  

- A willingness and ability to learn new skills, technologies, and software libraries as required. 

- Strong experience with data pipelines for large-scale processing and analysis.

- Strong communication and organizational skills 

- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.

- Open-minded and collaborative team player with the willingness to help others.

- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus Points:

- Experience with ML pipelines, including dataset curation, labelling, training and evaluation. 

- Previous experience in self-driving technology or related fields.

- Familiar with linear algebra (projections, transforms) and 3D geometry.

- Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).

- Experience with with front end development

- Experience working with open-set / embedding models and deploying them in a production setting

- Experience working with infra as code (Terraform, CloudFormation, etc)

The US yearly salary range for this role is: $127,000 - $225,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.


Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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