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Data Annotation Tech Remote Jobs in Missouri (NOW HIRING)

Jobgether

$81K - $111K/yr

... technologies, distributed processing, and modern engineering practices. This is a high-impact opportunity for an experienced engineer who enjoys solving complex data challenges in a remote ...

Jobgether

Join a remote-first technology environment where high-quality data powers business growth and customer success. As a Data Administrator, you will play a vital role in maintaining the accuracy ...

Jobgether

Working in a remote-first and highly collaborative environment, you will partner with engineering ... Design and optimize cloud-based storage solutions using modern object storage technologies and data ...

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Strong understanding of data technologies, integration, and architecture, including familiarity ...

Jobgether

$94K - $124K/yr

This position offers significant ownership, exposure to enterprise-scale cloud technologies, and the opportunity to influence long-term data strategy within a collaborative, fully remote environment.

New

Kohl's

$112K - $148K/yr

Research and stay up to date on tech market trends and practices * Lead technical initiatives not ... Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud ...

Psyctalent

BCBA - Remote

MO · Remote

$70K - $86K/yr

... make data-driven decisions to modify treatment plans as needed - Collaborate with caregivers ... technology for remote services - Must be able to pass a background check and have a valid driver ...

C2FO

Senior Data Engineer I

Kansas City, MO · On-site +1

$103K - $140K/yr

Keep up with emerging technologies and best practices to continuously improve data engineering processes. * Fully Remote : This position is fully remote, requiring a reliable internet connection in a ...

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Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are popular job titles related to Data Annotation Tech Remote jobs in Missouri? For Data Annotation Tech Remote jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Missouri look for? The top searched job categories for Data Annotation Tech Remote jobs in Missouri are:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Corporate Counsel (Tech & Privacy) - Remote

micro1 AI

Springfield, MO • Remote

$90 - $130/hr

Part-time

Posted 23 days ago

Job description

Job Title: Transactional Attorney


Job Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. J.D. from an ABA-accredited law school.
  2. Active bar admission in at least one U.S. jurisdiction.
  3. Minimum of 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs.
  4. Exceptional written and verbal communication skills with meticulous attention to detail.
  5. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  6. Demonstrated commitment to innovation at the intersection of law and technology.
  7. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Apply