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Dataannotation Jobs in Springfield, MO (NOW HIRING)

DataAnnotation

LVN - AI Trainer

Springfield, MO · Remote

$50 - $60/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Medical Expert (this is an ...

DataAnnotation

LPN - AI Trainer

Springfield, MO · Remote

$50 - $60/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Medical Expert (this is an ...

DataAnnotation

RN - AI Trainer

Springfield, MO · Remote

$50 - $60/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Medical Expert (this is an ...

DataAnnotation

Phlebotomists - AI Trainer

Springfield, MO · Remote

$50 - $60/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an existing Medical Expert (this is an ...

DataAnnotation

SOC Analyst - AI Trainer

Springfield, MO · Remote

$50 - $100/hr

About the job: Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for existing cybersecurity professionals ...

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Dataannotation information

What are the key skills and qualifications needed to thrive as a Data Annotation Specialist, and why are they important?

To thrive as a Data Annotation Specialist, you need strong attention to detail, consistency, and a basic understanding of data labeling concepts, often supported by a high school diploma or relevant experience. Familiarity with annotation tools such as Labelbox, Supervisely, or CVAT, and sometimes basic knowledge of data formats and guidelines, is typically required. Excellent focus, time management, and the ability to follow detailed instructions help individuals excel in this role. These skills ensure the production of high-quality labeled datasets that are crucial for effective machine learning and AI model development.

Is it hard to work for DataAnnotation?

Data annotation jobs typically require attention to detail, basic computer skills, and the ability to follow guidelines. The difficulty level varies depending on the complexity of the data and the task, but many roles are entry-level and can be completed remotely with minimal training. Consistent accuracy and speed are important for success in this field.

What are data annotation jobs?

Data annotation jobs involve labeling or tagging data—such as text, images, audio, or video—to help train machine learning models. Annotators review raw data and add relevant information or classifications, such as identifying objects in a photo or transcribing spoken words. This work is essential for improving the accuracy of artificial intelligence systems. Data annotation can be performed manually or with the assistance of specialized software, and the tasks can range from simple to complex depending on the project requirements.

Does data annotation really pay?

Data annotation jobs typically pay hourly or per task rates that vary depending on the platform, complexity, and experience level. Entry-level annotators can earn minimum wage or slightly above, while experienced workers or those with specialized skills may earn higher rates. Payment is generally consistent with other gig or freelance work in the tech industry.

What is the difference between Dataannotation vs Data Analyst?

AspectDataannotationData Analyst
Required credentialsTypically high school diploma or equivalent; some roles may require basic technical skillsBachelor's degree in data science, statistics, or related field
Work environmentData labeling or annotation platforms, remote or on-siteOffice setting, often collaborative, with data analysis tools
Employer and industry usageTech companies, AI development, machine learning projectsBusiness, finance, healthcare, tech industries
Common search and comparison intentUnderstanding entry-level data roles, technical skills neededAnalyzing data, generating insights, decision-making

Dataannotation involves labeling data for machine learning, requiring basic technical skills and often minimal formal education. Data analysts interpret data to inform business decisions, requiring more advanced analytical skills and a degree. While both roles work with data, data annotation is more focused on preparing data, whereas data analysis involves deriving insights from data sets.

Does data annotation still hiring?

Data annotation roles are currently in demand as companies seek to improve machine learning models. Hiring depends on industry needs and project volume, with opportunities often available for remote work and entry-level positions requiring basic understanding of labeling tools and data privacy standards.

Is DataAnnotation a real company?

Data annotation is a common job role involving labeling data for machine learning models, but it is not the name of a specific company. Many companies and platforms hire data annotators to prepare datasets, often requiring skills in data management and familiarity with annotation tools. Job seekers should verify the employer's legitimacy before applying.

What are some common challenges faced by Data Annotation professionals, and how can they be managed effectively?

Data Annotation professionals often encounter challenges such as maintaining high accuracy while labeling large volumes of data and staying consistent with annotation guidelines across different projects. To manage these challenges, it's important to regularly communicate with team members, seek clarification on ambiguous cases, and utilize quality assurance processes like peer reviews. Many teams use specialized annotation tools and periodic training sessions to help annotators stay aligned and efficient. Developing strong attention to detail and adaptability also helps tackle the evolving requirements of data annotation tasks.
What are popular job titles related to Dataannotation jobs in Springfield, MO? For Dataannotation jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Dataannotation jobs in Springfield, MO look for? The top searched job categories for Dataannotation jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Dataannotation jobs? Cities near Springfield, MO with the most Dataannotation job openings:
Dataannotation jobs near you
Infographic showing various Dataannotation job openings in Springfield, MO as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.
Product Security Engineer - AI Trainer

Product Security Engineer - AI Trainer

DataAnnotation

Springfield, MO • Remote

$50 - $100/hr

Contractor

Posted 28 days ago

Job description

About the job:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for existing cybersecurity professionals to help advance AI development. Cybersecurity platforms are increasingly powered by AI — but these systems still need practitioners with real-world experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated security content, solving technical security problems, and providing feedback that directly shapes how these systems reason about real-world threats and defenses.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available to you through our platform.

Advantages of contracting with us:

  • Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  • Flexible schedule: choose which projects you take on and when you work.
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects
  • Impact: help shape the future of AI technologies built for cybersecurity.

Responsibilities:

  • Evaluate AI-generated cybersecurity content — including threat analysis, vulnerability assessments, and offensive security techniques — for real-world accuracy and validity.
  • Design and solve security-focused technical problems used to train AI systems.
  • Write clear technical explanations and security-relevant code.
  • Provide feedback that directly shapes the next generation of AI security models.

Qualifications:

  • 2+ years of hands-on experience in a cybersecurity role — such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations.
  • Some coding experience required; comfort navigating and patching a codebase is key.
  • Fluency in English (native or bilingual level) with strong writing skills.
  • A bachelor's degree is preferred.
  • Cybersecurity certifications are a plus (e.g., OSCP, CRTO, GREM, GCFA, CEH, and similar).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. This is an independent contractor position.

#cybersecurity