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Day Shift Remote Data Annotation Jobs in Missouri

Jobgether

Fully remote work environment with flexibility and opportunities to collaborate with international ... Regular team collaboration opportunities, including hack days and innovation-focused projects.

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

This position is fully remote. Primary Responsibilities * Apply operations research methodologies ... Because we do things differently - and we think you'll feel it from day one. We're a people-first ...

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

This position is fully remote. Primary Responsibilities * Apply operations research methodologies ... Because we do things differently - and we think you'll feel it from day one. We're a people-first ...

New Day Admin

Payroll Manager

Springfield, MO · On-site +1

... remote workers nationwide. With seven interconnected EMR platforms feeding data into UKG, our ... Ensure wageandhour compliance, including overtime, shift differentials, on call pay, bonuses ...

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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 Scientist: Product & Analytics

Jobgether

On-site, Remote

Full-time

PTO

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 Scientist: Product & Analytics based in Netherlands.

As a Data Scientist focused on Product and Analytics, you will transform complex data into actionable insights that shape product decisions and improve user experiences at scale. Working at the intersection of data science, analytics engineering, and product strategy, you will build reliable data products, design experiments, and help teams make smarter decisions. This role goes beyond traditional analytics, offering ownership over production data systems and the opportunity to directly influence millions of user interactions. You will collaborate closely with Product, Growth, and Engineering teams in a highly autonomous environment where impact and outcomes matter. If you enjoy solving ambiguous problems, combining technical expertise with business thinking, and creating meaningful data-driven solutions, this role offers an exciting opportunity to make a measurable difference.

Accountabilities
  • Build, maintain, and improve production data products and analytical systems that support key business and product decisions.
  • Design and analyze experiments in collaboration with Product and Growth teams, defining success metrics, evaluating outcomes, and providing actionable recommendations.
  • Develop reliable analytical foundations through data modeling, pipeline improvements, data quality monitoring, and scalable analytics solutions.
  • Partner with stakeholders to understand complex business challenges, explore data, identify opportunities, and recommend effective solutions.
  • Translate complex analyses into clear insights for both technical and non-technical audiences, enabling better prioritization and decision-making.
  • Continuously improve analytics infrastructure, semantic data models, experimentation frameworks, and future data-driven capabilities.
  • Collaborate with Data Engineering teams to strengthen the overall data platform and ensure trusted, accessible information across the organization.
Requirements
  • Several years of experience working as a Data Scientist, ideally within a modern product-focused or technology-driven environment.
  • Strong programming skills in Python and SQL, with experience applying them to real-world data challenges.
  • Proven experience building production data products or analytical systems that have delivered measurable business impact.
  • Strong understanding of experimentation methodologies, statistics, hypothesis testing, and data-driven decision-making.
  • Experience working with modern data warehouses, transformation tools, and analytics platforms; knowledge of dbt is a plus.
  • Experience collaborating directly with Product, Growth, Marketing, or other business teams to solve strategic problems.
  • Ability to investigate complex datasets, identify meaningful patterns, and communicate insights effectively.
  • Strong ownership mindset with the ability to work independently, navigate ambiguity, and prioritize impactful solutions.
  • Experience in B2C SaaS, subscription products, or product-led growth environments is an advantage.
Benefits
  • Fully remote work environment with flexibility and opportunities to collaborate with international teams.
  • Opportunity to impact the experience of millions of users through data-driven product improvements.
  • Competitive compensation package aligned with experience, skills, and market conditions.
  • 30 vacation days with flexibility to take time off when needed.
  • Sabbatical leave opportunities for employees with extended tenure.
  • Comprehensive parental leave benefits.
  • Annual personal development budget to support learning, training, and professional growth.
  • Access to internal knowledge sharing, coaching opportunities, and skill development initiatives.
  • Regular team collaboration opportunities, including hack days and innovation-focused projects.
  • Supportive culture focused on autonomy, creativity, continuous learning, and meaningful impact.
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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