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Data Annotation Tech Remote Jobs in Missouri (NOW HIRING)

Jobgether

You will have the autonomy to influence technology choices and establish best practices in a remote-first culture. Accountabilities: As the Head of Data Engineering, you will own the strategy ...

Jobgether

... remote or hybrid options. * Collaboration with a diverse and highly skilled team of technology ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

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 ...

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

... technology, where performance, scale, and latency are critical ... You will also contribute to improving underlying data infrastructure to support LLM-based ...

Connection

IT Support Specialist; HYBRID

MO · On-site +1

$30 - $34/hr

Overview IT Support Specialist II Location: Must be able to work on-site in Columbia, MO 1-2 times ... Configure and deploy computers via remote access into local datacenters as required. * Perform data ...

Advantage Tech

Workflow Developer

Kansas City, MO · On-site +1

Advantage Tech is looking for a Workflow Developer for our Kansas City Client. The Workflow ... However, the remote location must be within the US. How you?ll spend your time: * Build technical ...

Jobgether

Experience with trading, market-data, or financial technology platforms. * Knowledge of data ... Remote-first working environment with flexibility across Europe. * Opportunity to lead impactful ...

Yuno

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud ...

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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 are Data Annotation Tech Remote jobs?

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 Technicians, 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.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

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

Head of Data Engineering

Jobgether

On-site, Remote

Full-time

Posted 6 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 Head of Data Engineering based in Netherlands.

This role offers the opportunity to lead the evolution of a global-scale data ecosystem within a fast-growing technology environment.
You will define the architecture, engineering standards, and strategic direction that power business intelligence and data-driven decisions.
As a technical leader, you will build scalable platforms, strengthen data reliability, and enable advanced analytics and machine learning capabilities.
You will collaborate with cross-functional teams to transform complex business needs into impactful technical solutions.
The role combines hands-on technical expertise, team leadership, and long-term vision to shape the future of data infrastructure.
You will have the autonomy to influence technology choices and establish best practices in a remote-first culture.

Accountabilities:

As the Head of Data Engineering, you will own the strategy, architecture, and execution of a scalable data environment that supports global operations and innovation. You will lead engineering teams, improve data capabilities, and ensure reliable systems that empower business growth.

  • Design, develop, and continuously improve a scalable data architecture capable of supporting rapid global expansion.
  • Define engineering standards for data pipelines, including CI/CD practices, automation, version control, and operational excellence.
  • Ensure data reliability, security, governance, and performance across platforms supporting analytics and machine learning initiatives.
  • Lead strategic technology decisions, including the selection and adoption of cloud platforms, tools, and data engineering solutions.
  • Build and mentor high-performing data engineering teams, fostering technical ownership, collaboration, and continuous improvement.
  • Guide the development of efficient ETL/ELT solutions and modern data workflows.
  • Partner with business, product, analytics, and technical stakeholders to translate complex requirements into scalable solutions.
  • Establish processes that improve data quality, accessibility, and the overall effectiveness of the data organization.
Requirements:

The ideal candidate is a strategic and hands-on data engineering leader with extensive experience building scalable data platforms and managing high-performing engineering teams.

  • Proven experience leading data engineering functions within a high-growth, scale-up, or technology-driven environment.
  • 3+ years of experience managing and developing engineering teams, with a strong ability to mentor and inspire technical talent.
  • 5+ years of hands-on experience with programming languages such as Python, Java, or Scala for building complex data systems.
  • Deep knowledge of data architecture, data warehousing, big data technologies, and cloud infrastructure.
  • Strong experience working with relational and NoSQL databases at scale.
  • Expertise with the Google Cloud Platform (GCP) ecosystem and modern cloud-based data solutions.
  • Demonstrated ability to design secure, reliable, and high-performance data pipelines.
  • Strong technical leadership skills with the ability to drive engineering excellence and ownership.
  • Excellent communication and collaboration skills, with the ability to work effectively across multiple teams.
  • Advanced degree in Computer Science, Engineering, or a related field is a plus.
Benefits:
  • Remote-first work environment with flexibility to work from anywhere in the world.
  • Opportunity to shape the technical strategy and data infrastructure of a global technology organization.
  • Work-life balance culture designed to support sustainable performance and innovation.
  • High-impact leadership role with ownership over critical data systems and engineering practices.
  • Opportunity to work with international teams and contribute to products used globally.
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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