AI ML Engineer
Mason, OH · Remote
Mason, OH (Remote) Job Type: Fulltime Must Have Technical/Functional Skills * Python (Expert level ... Tagging and labeling workflows * Generative AI & LLMs * Prompt engineering for LLM-based ...
AI ML Engineer
Mason, OH · Remote
Mason, OH (Remote) Job Type: Fulltime Must Have Technical/Functional Skills * Python (Expert level ... Tagging and labeling workflows * Generative AI & LLMs * Prompt engineering for LLM-based ...
Systems Engineer
Dayton, OH · On-site +1
This position will support development of a data architecture and machine learning experimentation ... This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S.
Systems Engineer
Dayton, OH · On-site +1
This position will support development of a data architecture and machine learning experimentation ... This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S.
Azure Cloud Operations Engineer
Akron, OH · On-site +1
Implement and enforce governance policies, such as access control, tagging, cost management, and ... Data Factory, Logic Apps, Scale Sets, Monitor/Alerts, IAM, RBAC. • Strong knowledge of Azure ...
Azure Cloud Operations Engineer
Akron, OH · On-site +1
Implement and enforce governance policies, such as access control, tagging, cost management, and ... Data Factory, Logic Apps, Scale Sets, Monitor/Alerts, IAM, RBAC. • Strong knowledge of Azure ...
Senior Manager - Journey Optimization Platforms
Columbus, OH · On-site +1
$153K - $302K/yr
Strong understanding of digital data layers, tagging architectures, and cross-channel measurement ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...
Senior Manager - Journey Optimization Platforms
Columbus, OH · On-site +1
$153K - $302K/yr
Strong understanding of digital data layers, tagging architectures, and cross-channel measurement ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...
Remote Data Tagging information
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 Ohio? For Remote Data Tagging jobs in Ohio, the most frequently searched job titles are:
- Remote Global Intelligence Analyst
- Remote Environmental Policy Analyst
- Remote Economic Data Analyst
- Remote Data Analyst Spanish
- Remote Epic Community Connect
- Remote Psychology Data Analyst
- Full Time Remote Cyber Security Analyst
- Manufacturing Data Analyst Remote
- Remote Basketball Data Analyst
- Assistant Remote Content Creator
What job categories do people searching Remote Data Tagging jobs in Ohio look for? The top searched job categories for Remote Data Tagging jobs in Ohio are:
What cities in Ohio are hiring for Remote Data Tagging jobs? Cities in Ohio with the most Remote Data Tagging job openings:
Job description
Job Title: AI ML Engineer
Location: Mason, OH (Remote)
Job Type: Fulltime
Job Description
Must Have Technical/Functional Skills
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Location: Mason, OH (Remote)
Job Type: Fulltime
Job Description
Must Have Technical/Functional Skills
- Python (Expert level)
- Machine Learning & Model Training
- Training, evaluation, fine tuning
- Tagging and labeling workflows
- Generative AI & LLMs
- Prompt engineering for LLM-based applications
- Document Processing
- Document extraction, parsing, and chunking
- Handling structured & unstructured data
- Embeddings & Vector Search
- Embedding generation
- Vector database integration
- Databases
- Vector Databases
- MongoDB
- Production-grade ML Engineering
- Scalable, production-ready ML/GenAI solutions
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
About Diverse Lynx
Sourced by ZipRecruiter
Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Princeton, NJ, US
Year founded
2002