AI ML Engineer
Mason, OH · Remote
AI ML Engineer Location: Mason, OH (Remote) Job Type: Fulltime Must Have Technical/Functional ... Tagging and labeling workflows * Generative AI & LLMs * Prompt engineering for LLM-based ...
AI ML Engineer
Mason, OH · Remote
AI ML Engineer Location: Mason, OH (Remote) Job Type: Fulltime Must Have Technical/Functional ... Tagging and labeling workflows * Generative AI & LLMs * Prompt engineering for LLM-based ...
The company builds and operates a global network of ultra-efficient, AI-ready data centers with ... Installation, labeling, dressing, and documentation of fiber patch panels * Fiber cross-connect ...
The company builds and operates a global network of ultra-efficient, AI-ready data centers with ... Installation, labeling, dressing, and documentation of fiber patch panels * Fiber cross-connect ...
High Volume (TOFU) Recruiter
Columbus, OH · On-site +1
$55K - $100K/yr
... labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the ... AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from ...
Quick apply
High Volume (TOFU) Recruiter
Columbus, OH · On-site +1
$55K - $100K/yr
... labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the ... AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from ...
Systems Engineer
Dayton, OH · On-site +1
This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S ... AI-ready wireless datasets. Responsibilities include: * Implementing automated tagging and labeling ...
Systems Engineer
Dayton, OH · On-site +1
This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S ... AI-ready wireless datasets. Responsibilities include: * Implementing automated tagging and labeling ...
Remote Ai Labeling information
How much do AI labelers make?
AI labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are remote and may require skills in data annotation tools and attention to detail.
What is a $900,000 AI job?
A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, machine learning executives, or senior data scientists, often requiring advanced skills, extensive experience, and leadership responsibilities. These positions may involve overseeing AI development, strategy, and implementation, and often offer compensation packages including salary, bonuses, and stock options. Such roles are rare and usually found in large tech companies or innovative startups with significant AI initiatives.
What is remote AI labeling?
Remote AI labeling is a job where individuals annotate or tag data—such as images, videos, text, or audio—from a remote location, typically their home. This labeled data is used to train artificial intelligence and machine learning models to recognize patterns or make decisions. Tasks may include drawing bounding boxes around objects in photos, transcribing audio, or categorizing content. Remote AI labeling jobs are popular for their flexibility and are essential in industries like autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, though attention to detail is important.
How can I make 2000 a week working from home?
Remote AI labeling jobs can offer opportunities to earn income, but making $2000 weekly typically requires working multiple hours or taking on high-volume projects. Success depends on experience, efficiency, and the number of tasks completed, often supplemented by other freelance or remote roles. Building skills in data annotation tools and maintaining consistent productivity can help increase earnings.
What job makes $10,000 a month without a degree?
Remote AI labeling jobs can pay up to $10,000 per month for experienced workers, especially those who handle large datasets or work on specialized projects. These roles typically require strong attention to detail, familiarity with AI tools, and consistent productivity, but often do not require formal degrees. Earnings depend on experience, workload, and the complexity of tasks performed.
What are some common challenges faced by remote AI labeling specialists, and how can they be addressed?
Remote AI labeling specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and managing tight deadlines. To address these, it's helpful to establish a structured work routine, use productivity tools to minimize distractions, and regularly review the labeling guidelines to avoid errors. Additionally, many companies provide collaborative platforms and regular feedback sessions, which can help clarify expectations and improve overall performance.
What are the key skills and qualifications needed to thrive as a Remote AI Labeling Specialist, and why are they important?
To thrive as a Remote AI Labeling Specialist, you need strong attention to detail, basic computer literacy, and familiarity with data annotation principles, often supported by a high school diploma or equivalent. Experience with labeling platforms, image or text annotation tools, and sometimes knowledge of data privacy standards are typically required. Being reliable, self-motivated, and able to communicate clearly helps you consistently deliver accurate work and meet deadlines. These skills ensure high-quality labeled data, which is crucial for training effective AI models.
What is the difference between Remote Ai Labeling vs Remote Data Annotation?
| Aspect | Remote Ai Labeling | Remote Data Annotation |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote, flexible hours |
| Industry Usage | AI development, machine learning | Data processing, machine learning |
| Job Focus | Labeling data specifically for AI models | Annotating various data types for machine learning |
Remote Ai Labeling and Remote Data Annotation are closely related roles in the AI industry. Both involve working remotely with data, but Ai Labeling focuses specifically on labeling data to train AI models, while Data Annotation encompasses a broader range of data types and tasks. Understanding these differences helps job seekers find roles that match their skills and career goals.
What are the most commonly searched types of Ai Labeling jobs in Ohio? The most popular types of Ai Labeling jobs in Ohio are:
What are popular job titles related to Remote Ai Labeling jobs in Ohio? For Remote Ai Labeling jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Ai Labeling jobs in Ohio look for? The top searched job categories for Remote Ai Labeling jobs in Ohio are:
What cities in Ohio are hiring for Remote Ai Labeling jobs? Cities in Ohio with the most Remote Ai Labeling 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