... including asset tagging and data collection. * Experience with performing data collection on ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...
... including asset tagging and data collection. * Experience with performing data collection on ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...
Remote Data Tagging information
See Indiana salary details
$47K - $54.2K
0% of jobs
$54.2K - $61.5K
1% of jobs
$61.5K - $68.7K
1% of jobs
$68.7K - $75.9K
8% of jobs
$81.7K is the 25th percentile. Wages below this are outliers.
$75.9K - $83.1K
18% of jobs
$83.1K - $90.3K
19% of jobs
The median wage is $91.4K / yr.
$90.3K - $97.6K
18% of jobs
$101.5K is the 75th percentile. Wages above this are outliers.
$97.6K - $104.8K
18% of jobs
$104.8K - $112K
13% of jobs
$112K - $119.2K
2% of jobs
$119.2K - $126.5K
2% of jobs
$47K
$93K
$126.5K
How much do remote data tagging jobs pay per year?
As of Jun 21, 2026, the average yearly pay for remote data tagging in Indiana is $93,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $102,500.00 per year, depending on experience, location, and employer.
How to make $1000 a week remote?
Remote data tagging jobs typically pay per task or hour, with earnings varying based on experience, efficiency, and the platform used. To make $1000 a week, you need to complete a high volume of accurate tags consistently, often requiring strong attention to detail and familiarity with data annotation tools. Building a steady workflow and working full-time hours can help achieve this income level.
How to make 2000 a week working from home?
Remote data tagging jobs can offer part-time or full-time opportunities that, with consistent effort and high productivity, can contribute toward earning $2000 weekly. Achieving this income typically requires working multiple hours daily, developing strong attention to detail, and using data annotation tools efficiently. Building experience and increasing your workload can help reach higher earnings in this field.
What are the key skills and qualifications needed to thrive as a Remote Data Tagging Specialist, and why are they important?
To thrive as a Remote Data Tagging Specialist, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, typically supported by a high school diploma or higher. Experience with data annotation tools such as Labelbox, Supervisely, or CVAT, and understanding of formats like JSON or XML, is commonly required. Excellent time management, communication, and reliability are standout soft skills for this remote role. These abilities are crucial to ensure high-quality, accurate datasets that power machine learning and AI systems.
What are some common challenges faced by remote data tagging professionals and how can they be addressed?
Remote data tagging professionals often encounter challenges such as maintaining consistent accuracy, managing repetitive tasks, and staying engaged without in-person supervision. To address these, it’s helpful to follow clear annotation guidelines, take regular breaks to prevent fatigue, and use collaboration tools to communicate with team members or supervisors. Many organizations also provide feedback loops and quality checks to support remote taggers in improving their work and staying aligned with project expectations.
What job makes $10,000 a month without a degree?
Remote data tagging jobs can pay up to $10,000 per month for experienced workers, especially those working full-time or handling large volumes of data. These roles typically require strong attention to detail, familiarity with data annotation tools, and consistent productivity, but they often do not require formal degrees.
What is the salary of data tagging?
The salary for remote data tagging positions typically ranges from $10 to $20 per hour, depending on experience, the company, and the complexity of the tasks. Many roles are paid on an hourly basis, and some may offer project-based or part-time compensation. Skills in data annotation tools and attention to detail can influence pay rates.
What is the difference between Remote Data Tagging vs Remote Data Annotation?
| Aspect | Remote Data Tagging | Remote Data Annotation |
|---|---|---|
| Primary Focus | Labeling specific data points within datasets | Adding detailed labels and context to data |
| Skills Required | Attention to detail, basic understanding of data types | Analytical skills, understanding of data context |
| Work Environment | Remote, often part-time or freelance | Remote, often part-time or freelance |
| Industry Usage | Machine learning, AI training | Machine learning, AI training |
Remote Data Tagging and Remote Data Annotation are closely related tasks in AI data preparation. Tagging typically involves marking specific data points, while annotation provides more detailed context. Both roles are essential for training machine learning models and share similar skills and work environments.
What is remote data tagging?
Remote data tagging is the process of labeling or annotating data—such as images, videos, text, or audio—while working from a remote location, typically from home. This work is essential for training artificial intelligence (AI) and machine learning models, as it helps computers better understand and categorize information. Data taggers use specialized software to mark, classify, or add metadata to various types of digital content according to specific guidelines provided by employers or clients. Most remote data tagging jobs require attention to detail, basic computer skills, and the ability to follow detailed instructions. These roles are often offered as freelance, part-time, or full-time remote positions.
What are popular job titles related to Remote Data Tagging jobs in Indiana? For Remote Data Tagging jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Tagging jobs in Indiana look for? The top searched job categories for Remote Data Tagging jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Tagging jobs? Cities in Indiana with the most Remote Data Tagging job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 9 days ago
JLL rating
8.2
Based on 266 frontline employees who took The Breakroom Quiz
36th of 154 rated real estate companies
Job description
JLL empowers you to shape a brighter way.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented peopleand empowering them tothrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
Schedule: flexible based on assignment
Travel: ~ 90%, sometimes up to 100% based on assignment
Location: anywhere in US; able to get to major airport frequently
DATA COLLECTION SPECIALIST - Level II
- Performs information gathering for data analytics, including asset tagging and data collection.
- Experience with performing data collection on building systems (HVAC, refrigeration, point of sale).
- Preferable but not essential to have additional experience with IoT devices.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Conducts walk-through surveys to assess condition of Property development.
- Must safely access roofs when part of work scope.
- Takes photographs of representative systems and conditions.
- Performs other duties as assigned.
- Logging information into a client database.
- Must adhere to client site visit protocols.
- Travel is required potentially up to 100% of the time, for periods of time.
- Must be able to problem solve and use critical thinking skills to help solution through basic to moderate-level complexity of projects.
SUPERVISORY RESPONSIBILITIES
- No direct supervisory responsibilities.
QUALIFICATIONS, EDUCATION and EXPERIENCE
- Ability to travel up to 90% of the time
- High school diploma required.
- Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a plus.
- Candidate must have strong time management and problem-solving skills, with the ability to meet scheduled deadlines.
- Must be proficient with using an iPad/iPhone and iOS systems.
CERTIFICATES and/or LICENSES
- Driver's License
- OSHA 10-Hour Safety Course
COMMUNICATION SKILLS
- Ability to comprehend, analyze and interpret issues related to property conditions and communicate with team members and potential clients on a collaborative basis.
- Excellent written and verbal communication, interpersonal, consultative, and exceptional customer service skills.
- Ability to maintain confidentiality while eliciting relevant information from contacts.
- Ability to effectively respond to sensitive issues, complex inquiries or complaints from clients, co-workers, supervisor and/or management.
REASONING ABILITY
- Ability to solve problems and deal with a variety of options in complex situations. Requires analytical and quantitative skills with proven experience in developing strategic solutions.
OTHER SKILLS and ABILITIES
- Competency with an ability to adapt to various programs, apps and web platforms for data gathering word processing, spreadsheet functions, communications, project tracking, etc.
- Excellent time management and organizational skills.
- Must be self-motivated and team oriented.
- The position requires simultaneously managing deliverables for multiple ongoing assignments.
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Estimated compensation for this position:
45,000.00 - 80,000.00 USD per yearThis range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:
Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las Vegas, NV, Miami, FL, Minneapolis, MN, New Orleans, LA, New York, NY, Pittsburgh, PA, Richmond, VA, Tampa, FL, Washington, DCIf this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:
401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you'repursuing.
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Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
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Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.
Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Accepting applications on an ongoing basis until candidate identified.