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Part Time Remote Data Labelling Jobs in Dallas, TX

This part-time remote opportunity is ideal for creative professionals with hands-on experience in ... Translate complex data into clear visual storytelling with a strong focus on minimalism and precise ...

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Part Time Remote Data Labelling information

See Dallas, TX salary details

$45.5K

$163.2K

$240.9K

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

As of Jul 27, 2026, the average yearly pay for part time remote data labelling in Dallas, TX is $163,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,100.00 and $168,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Labelling specialist, and why are they important?

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 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 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 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 job categories do people searching Part Time Remote Data Labelling jobs in Dallas, TX look for? The top searched job categories for Part Time Remote Data Labelling jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Part Time Remote Data Labelling jobs? Cities near Dallas, TX with the most Part Time Remote Data Labelling job openings:

Remote Data Analyst

Jill Frisch

Dallas, TX • On-site, Remote

$50K - $63K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Company Overview:

Jill Frisch & Freeze Minimart, where unparalleled convenience meets exceptional quality. We have been at the forefront of the retail industry, steadfastly serving a diverse and growing global community. Our odyssey commenced with a visionary mission: to craft an all-encompassing shopping sanctuary meticulously tailored to the evolving desires of our customers.

Through relentless dedication and an unwavering commitment to innovation, we have burgeoned into an eminent enterprise, revered as the quintessential haven for an extensive array of fresh produce, gourmet delicacies, household staples, and beyond. Our zeal for excellence is perpetual; we are devoted to incessantly broadening our assortment of premium products and elevating the customer experience to unprecedented heights.

As a family-founded enterprise, we cherish the deep-rooted connections we've cultivated with our esteemed patrons. It is with immense pride that we continue to nurture these bonds, ensuring that Jill Frisch & Freeze Minimart remains eminent emporium for all shopping endeavors.

As we continue to expand, we are looking for a talented Data Analyst to join our team and help us make data-driven decisions for our business.

Position Overview:

As a Data Analyst at Jill Frisch & Freeze MiniMart, you will be responsible for collecting, analyzing, and interpreting data to help us make informed decisions. You will work closely with our management team to identify areas of improvement and provide actionable insights to drive business growth.

Key Responsibilities:

- Collect, organize, and analyze large sets of data from various sources, including sales, inventory, and customer data

- Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide insights to the management team

- Identify trends and patterns in data to inform business strategies and decision-making

- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions

- Develop and implement data quality control processes to ensure accuracy and consistency of data

- Stay updated on industry trends and best practices in data analysis to continuously improve processes and methodologies

Qualifications:

- Bachelor's degree in Data Analytics, Statistics, Mathematics, or a related field

- 2+ years of experience in data analysis, preferably in a retail or consumer goods industry

- Proficient in SQL and data visualization tools such as Tableau or Power BI

- Strong analytical and problem-solving skills with a keen attention to detail

- Ability to communicate complex data insights in a clear and concise manner

- Experience with statistical analysis and predictive modeling is a plus

- Familiarity with data management and ETL processes is a plus

We Offer:

- Competitive salary and benefits package

- Opportunities for growth and development within a fast-growing company

- A dynamic and collaborative work environment

- The chance to make a significant impact on the business through data-driven decision-making

If you are a highly analytical and detail-oriented individual with a passion for data, we would love to hear from you. Join our team at Jill Frisch & Freeze MiniMart and help us drive our business forward through data analysis.

Minimum Education:

  • Bachelor's degree in Analytics, Statistics, Mathematics,
    Economics, Finance, Computer Science or a related quantitative
    discipline and/or business or an equivalent combination of education and
    experience.

Minimum experience:

  • Two or more years of hands-on data wrangling, reporting, analytics, and data programming

Notice: This position is solely for US Citizens!!!

Job Type: Full-time, Part-time

What we offer:

Compensation: Jill Frisch & Freeze Minimart has an effective process for assessing
market data and establishing ranges to ensure we remain competitive. You
are paid within the salary range based on your experience and market
data of the position. The actual salary for this role may vary by
location. The salary range for this position is: $50,000.00 - $63,000.00

Employees may be eligible for pay incentives based on overall
corporate and individual performance and at the discretion of our Board.

Benefits: Here, our employees enjoy best-in-class benefits
to support their physical, financial, and emotional wellness. These
benefits include comprehensive medical, dental and vision plans, 401(k),
pension, life insurance, parental benefits, adoption assistance, paid
time off program with paid holidays plus 16 paid volunteer hours, and
various wellness programs. Additionally, our career path planning and
continuing education assists employees with their professional goals.

Work Remotely: Yes

Work Location: Remote