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Part Time Remote Data Labelling Jobs in Phoenix, AZ

IQVIA

Clinical Trial Psych Rater

Glendale, AZ · Remote

$62K - $156K/yr

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... Review case data and prepare for rater discussions, ensuring all relevant documents and scale items ...

City of Chandler

AI Officer

Chandler, AZ · On-site +1

$129K - $187K/yr

... part time employees Free Tumbleweed Recreation Center membership Flexible schedule/remote work ... Desired qualifications Master's degree in data science, computer science, public administration ...

Cortica

Licensed Clinical Social Worker (LCSW)

Mesa, AZ · Remote

$47 - $59/hr

Cortica is looking for a fully remote, part time Licensed Clinical Social Worker (LCSW) to join its ... Please review our Privacy Notice to understand how your data is collected, used, and protected.

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Part Time Remote Data Labelling information

See Phoenix, AZ salary details

$45.7K

$163.8K

$241.8K

How much do part time remote data labelling jobs pay per year?

As of Aug 22, 2026, the average yearly pay for part time remote data labelling in Phoenix, AZ is $163,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,800.00 per year, depending on experience, location, and employer.

What is a part time remote data labelling job?

A part time remote data labelling job involves annotating or tagging data—such as images, text, or audio—from your own location, typically using specialized software provided by employers. The role is essential for training machine learning models, as accurate labels help computers learn to recognize patterns. These jobs are often flexible, allowing you to set your own hours and work from anywhere with an internet connection. No advanced technical skills are usually required, but attention to detail is important.

What are the key skills and qualifications needed to thrive as a part time remote data labelling specialist?

To excel as a Part Time Remote Data Labelling specialist, you need strong attention to detail, basic computer literacy, and a solid understanding of data privacy and handling protocols, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, spreadsheet software, and sometimes specific data labelling tools like Labelbox or Supervisely is typically required. Reliability, time management, and clear communication are crucial soft skills for meeting deadlines and collaborating in a remote setting. These skills and qualities ensure that labelled data is accurate, consistent, and valuable for training effective machine learning models.

What are some common challenges faced by part time remote data labelling professionals, and how can they be managed?

Part-time remote data labellers often face challenges such as maintaining consistent accuracy, staying focused during repetitive tasks, and managing communication with a distributed team. To address these, it’s helpful to establish a quiet, distraction-free workspace, use productivity techniques like the Pomodoro method, and regularly review labelling guidelines to minimize errors. Leveraging communication tools and participating in team check-ins can also help clarify questions and build a sense of connection with colleagues.

What is the difference between Part Time Remote Data Labelling vs Part Time Remote Data Annotation?

AspectPart Time Remote Data LabellingPart Time Remote Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, data processingAI, machine learning, data processing
Job FocusLabeling data for training AI modelsAnnotating data for AI training

Part Time Remote Data Labelling and Part Time Remote Data Annotation are similar roles involving preparing data for AI systems. Labelling typically involves categorizing data, while annotation may include adding detailed notes or markings. Both roles require attention to detail and are performed remotely, making them suitable for flexible schedules. The main difference lies in the specific tasks, but they are often used interchangeably depending on the employer or project.

What are the most commonly searched types of Remote Data Labelling jobs in Phoenix, AZ?

The most popular types of Remote Data Labelling jobs in Phoenix, AZ are:

What are popular job titles related to Part Time Remote Data Labelling jobs in Phoenix, AZ?

For Part Time Remote Data Labelling jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Data Labelling jobs in Phoenix, AZ look for?

The top searched job categories for Part Time Remote Data Labelling jobs in Phoenix, AZ are:

Part Time Remote Data Labelling jobs near you

Clinical Trial Psych Rater

IQVIA

Glendale, AZ • Remote

$62K - $156K/yr

Part-time

Posted 9 days ago

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

63rd of 225 rated it services

Job description

Clinical Trial Psych Rater - US Spanish Speaking

Location: Remote/Virtual
Hours: Estimated 10-16 hours per month
Role: Clinical Specialist

About IQVIA

IQVIA is a global leader in advanced analytics, technology solutions, and clinical research services, dedicated to driving healthcare forward. We partner with the world's leading pharmaceutical, biotechnology, and medical device companies to improve patient outcomes and accelerate innovation. Our team combines deep scientific expertise with cutting-edge technology to deliver high-quality data and insights that shape the future of clinical trials.

Position Overview

The Clinical Specialist plays a key role in ensuring the integrity and reliability of clinical trial data. This position involves reviewing scales administered by raters to confirm standardized assessment practices. Responsibilities include evaluating assessment quality, engaging in live discussions with raters to provide guidance on methodology and scoring techniques, and supporting rater performance through functional assessments (e.g., mock interviews). Additional tasks may include assisting with communication materials and documentation.

Key Responsibilities

  • Participate in all required orientation, training, and calibration activities.

  • Review case data and prepare for rater discussions, ensuring all relevant documents and scale items are available.

  • Conduct live interactions with raters to provide feedback and guidance on assessment methodology and scoring.

  • Complete assigned tasks and rater interactions according to schedule.

  • Submit all required documentation accurately and on time.

Required Qualifications

  • Education: Master's degree (MA/MS) in Psychology, Counseling, Psychiatric Nursing, or Social Work (or equivalent). MD, DO, or PhD preferred.

  • Experience:

    • Minimum 3 years administering psychiatric assessments, rating scales, and/or structured clinical interviews (specifically PANSS, MINI and CGI-SCH).

    • Minimum 3 years of clinical experience with psychiatric populations.

    • Minimum 3 years administering scales in clinical research trials (excluding graduate/doctoral research).

    • Experience in CNS trials preferred.

  • Skills:

    • Strong interpersonal and communication skills for professional interaction at all levels.

    • Excellent organizational skills, attention to detail, time management, and problem-solving ability.

    • Proficiency with Windows and Microsoft Office applications.

Language Requirement

Current openings require fluency in English and native-level proficiency in US Spanish.

#LI-DNP #LI-Remote #LI-HCPN

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $62,700.00 - $156,700.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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