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Day Shift Remote Data Annotation Jobs in Missouri

Jobgether

This freelance, remote opportunity is ideal for individuals with strong language skills who can ... Experience in data collection, data annotation, AI data projects, or similar freelance work is ...

Jobgether

... annotation, and data quality initiatives. You will collaborate with cross-functional teams and ... Benefits * Fully remote position with flexibility to work from anywhere. * Opportunity to ...

Jobgether

$15.50 - $20/hr

Join a long-term remote project supporting high-quality multilingual transcription and annotation ... and overall data quality across multiple languages. Working independently while following ...

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... Looks Like In 90 days: Deploy first cloud pipeline to production; complete HIPAA training ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data ...

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All JobsDay Shift Data Annotation JobsDay Shift Remote Data Annotation JobsDay Shift Remote Data Annotation Jobs in Missouri

Day Shift Remote Data Annotation information

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

To excel as a Day Shift Remote Data Annotation Specialist, strong attention to detail, a solid understanding of data labeling concepts, and basic computer literacy are essential, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data management tools, and sometimes knowledge of specific industry standards or guidelines is typically expected. Excellent time management, communication skills, and the ability to work independently make candidates stand out in this remote role. These capabilities ensure accuracy, efficiency, and reliability in processing and labeling data, which are critical for the quality of machine learning and AI projects.

What is the difference between Day Shift Remote Data Annotation vs Day Shift Remote Data Labeling?

AspectDay Shift Remote Data AnnotationDay Shift Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, computer-basedRemote, computer-based
Industry UsageTech, AI, Machine LearningTech, AI, Machine Learning
Job FocusAdding annotations to datasetsApplying labels to datasets

Both roles involve working remotely in tech and AI industries, requiring similar skills. Data annotation typically involves marking specific features in data, while data labeling focuses on assigning categories. The main difference lies in the terminology and specific task details, but both are essential for training AI models.

What are some common challenges faced by remote data annotation professionals working day shifts, and how can they be managed?

Remote data annotation professionals on day shifts often encounter challenges such as staying focused during repetitive tasks, maintaining high accuracy, and managing communication across distributed teams. To address these, it's helpful to establish a structured daily routine, take regular short breaks to reduce eye strain and fatigue, and use productivity tools to track progress. Proactive communication with team members and supervisors—using chat platforms or regular video check-ins—also helps ensure alignment on project guidelines and fosters a collaborative remote work environment.

What is a Day Shift Remote Data Annotation job?

A Day Shift Remote Data Annotation job involves labeling or tagging data—such as images, text, audio, or video—so that it can be used to train machine learning models. This work is performed remotely, generally during regular daytime business hours. Data annotators follow specific guidelines to ensure accuracy and consistency, making their work crucial for the development of artificial intelligence systems. Some common tasks include identifying objects in images or transcribing spoken words in audio files. The role typically requires attention to detail and basic computer skills, but extensive technical expertise is usually not required.
What are the most commonly searched types of Shift Remote Data Annotation jobs in Missouri? The most popular types of Shift Remote Data Annotation jobs in Missouri are:
What are popular job titles related to Day Shift Remote Data Annotation jobs in Missouri? For Day Shift Remote Data Annotation jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Day Shift Remote Data Annotation jobs in Missouri look for? The top searched job categories for Day Shift Remote Data Annotation jobs in Missouri are:
What cities in Missouri are hiring for Day Shift Remote Data Annotation jobs? Cities in Missouri with the most Day Shift Remote Data Annotation job openings:
Day Shift Remote Data Annotation jobs near you

Data Collection Project - Multilingual Real-World Content

Jobgether

Remote

Full-time

Posted 4 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Collection Project - Multilingual Real-World Content based in Netherlands.

Join a large-scale multilingual data collection initiative supporting the development of advanced AI technologies through authentic, real-world digital content. This freelance, remote opportunity is ideal for individuals with strong language skills who can responsibly source naturally occurring data across a variety of digital formats. Contributors will help improve AI systems by providing diverse, high-quality content while following strict quality and compliance standards. Work independently with flexible scheduling and earn compensation based on approved submissions. This project values accuracy, diversity of content, and ethical data handling. Referral bonuses are also available for successful participant recommendations.

Accountabilities
  • Collect authentic, naturally occurring digital content from approved sources, including emails, messages, notes, files, webpages, screenshots, photos, and voicemail or meeting transcripts.
  • Ensure all submitted content is original, contextually rich, and reflects real-world interactions without using synthetic, staged, or AI-generated material.
  • Gather content covering a wide variety of everyday topics such as technology, travel, entertainment, finance, education, health, sports, gaming, and more.
  • Follow all project guidelines related to data quality, compliance, and responsible handling of sensitive information, ensuring personally identifiable information is appropriately managed.
  • Submit high-quality assets that meet project standards within the required timelines.
Requirements
  • Native-level proficiency in one of the required languages: English (US), Portuguese (BR), French (FR), German (DE), Simplified Chinese, Japanese, Korean, Arabic (SA), or Hindi.
  • Experience in data collection, data annotation, AI data projects, or similar freelance work is preferred.
  • Ability to responsibly source authentic digital content while maintaining ethical standards and following project guidelines.
  • Strong attention to detail with the ability to identify and provide diverse, high-quality content.
  • Reliable internet access and the ability to work independently in a fully remote environment.
Benefits
  • Fully remote freelance opportunity with flexible working hours.
  • Hourly compensation based on approved submissions.
  • Performance-based referral bonus for successful candidate referrals.
  • Opportunity to contribute to a large-scale international AI development project.
  • Flexible workload that allows you to work at your own pace.
  • Entry-level opportunity with potential to gain experience in AI data collection projects.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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