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Flexible Remote Image Annotation Jobs in Missouri

$79K - $104K/yr

Design and deploy modular, version-controlled, and reproducible image and video generation ... Fully remote work environment with flexibility to work from anywhere. * Generous paid vacation ...

Senior Underwriting Consultant

Louisiana, MO · Remote

$87K - $103K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... Project a professional image and serve as an example to junior staff. * Manage all aspects of ...

Senior Underwriting Consultant

Louisiana, MO · Remote

$87K - $103K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... Project a professional image and serve as an example to junior staff. * Manage all aspects of ...

Geomatics Analyst

Saint Louis, MO · On-site +1

$56K - $75K/yr

Operations of geomatics projects in survey, UAS or crewed aircraft, image, lidar processing ... lidar, remote sensing, or related field. * 2-3 years' experience with Revit and/or PLS CADD.

Flexible Remote Image Annotation information

What is flexible remote image annotation?

Flexible remote image annotation is a job where individuals label or tag elements within digital images from a remote location, often from home. This work is crucial for training artificial intelligence and machine learning models, particularly in fields like computer vision and autonomous vehicles. The 'flexible' aspect means workers can often set their own hours and choose tasks according to their availability. Image annotation tasks may include outlining objects, assigning categories, or describing visual content in images. Most positions require attention to detail and basic computer skills, but prior experience is not always necessary.

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

To thrive as a Flexible Remote Image Annotation Specialist, you need strong attention to detail, visual accuracy, and a basic understanding of image processing, often supported by a high school diploma or equivalent. Familiarity with annotation tools such as Labelbox, CVAT, or VIA, and sometimes experience with basic data entry platforms, is typically required. Excellent time management, communication skills, and the ability to work independently are valued soft skills for this remote role. These skills ensure high-quality, consistent data labeling essential for training reliable machine learning models and supporting AI development.

What are some common challenges faced in flexible remote image annotation roles and how can they be managed?

One common challenge in flexible remote image annotation is maintaining accuracy and consistency across large datasets, especially when guidelines are complex or images are ambiguous. Working independently can also make it harder to get immediate feedback or clarification. To manage these challenges, it’s important to regularly review annotation guidelines, participate in team check-ins or forums, and make use of quality assurance tools provided by the employer. Staying organized and communicating proactively with project leads can help ensure your work meets expectations and deadlines.

What is the difference between Flexible Remote Image Annotation vs Data Labeler?

AspectFlexible Remote Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI, machine learning, computer visionAI, machine learning, data processing
Job FocusAnnotating images with labels, bounding boxes, segmentationLabeling data, categorizing images or text

Flexible Remote Image Annotation and Data Labeler roles both involve data processing tasks in AI and machine learning industries. While image annotation focuses on marking specific features within images, data labelers may work with various data types, including text and images. Both roles are remote, require similar skills, and serve the same industry needs, but image annotation emphasizes visual data precision.

What are the most commonly searched types of Remote Image Annotation jobs in Missouri? The most popular types of Remote Image Annotation jobs in Missouri are:
What are popular job titles related to Flexible Remote Image Annotation jobs in Missouri? For Flexible Remote Image Annotation jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Flexible Remote Image Annotation jobs in Missouri look for? The top searched job categories for Flexible Remote Image Annotation jobs in Missouri are:
What cities in Missouri are hiring for Flexible Remote Image Annotation jobs? Cities in Missouri with the most Flexible Remote Image Annotation job openings:
Infographic showing various Flexible Remote Image Annotation job openings in Missouri as of July 2026, with employment types broken down into 81% Full Time, 14% Part Time, 2% Temporary, and 3% Contract. Highlights an 22% In-person, and 78% Remote job distribution.

Generative AI Pipeline Engineer (Tech Lead)

Jobgether

On-site, Remote

$79K - $104K/yr

Full-time

Medical, 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 Generative AI Pipeline Engineer (Tech Lead) based in Netherlands.

This is a unique opportunity to lead the technical vision behind a next-generation AI media production platform built for large-scale, production-ready creative workflows. You will architect robust generative AI systems that prioritize precision, reproducibility, and operational excellence over experimentation alone. Working at the intersection of engineering, AI, and design, you will collaborate closely with creative leaders to develop scalable infrastructure that empowers non-technical users. From GPU environments and automated quality control to custom generation pipelines, your work will directly shape how AI-powered media is produced. This greenfield role offers significant ownership, technical freedom, and the chance to establish best practices for AI-driven content generation. It is ideal for an experienced engineer passionate about building reliable, production-grade AI solutions that deliver measurable business impact.

Accountabilities:

As the technical lead for the AI media production platform, you will design, implement, and continuously improve scalable generative AI infrastructure while enabling creative teams to produce high-quality assets efficiently. You will establish technical standards, evaluate emerging technologies, and ensure every workflow delivers reliable and reproducible results.

  • Architect and manage a scalable AI media production platform, including GPU environments, workflow orchestration, and user-friendly interfaces.
  • Design and deploy modular, version-controlled, and reproducible image and video generation pipelines.
  • Build one-click workflows and reusable presets that simplify AI content generation for non-technical users.
  • Develop and optimize end-to-end LoRA training pipelines, from dataset preparation through model evaluation and deployment.
  • Integrate advanced control mechanisms such as ControlNet, IP-Adapter, inpainting, and reference conditioning into production workflows.
  • Implement automated quality control processes to validate generated assets against reference materials before manual review.
  • Create reusable frameworks that capture and scale successful creative patterns across projects.
  • Partner with design leadership to define the technical roadmap, evaluate new AI models and tools, and promote adoption through technical enablement.
Requirements:

We are looking for an experienced AI engineer with a strong background in production-grade generative AI systems, workflow automation, and technical leadership. The ideal candidate combines deep technical expertise with practical problem-solving skills and the ability to collaborate across engineering and creative teams.

  • Proven experience building and deploying generative AI pipelines used in production environments.
  • Strong hands-on experience with ComfyUI, Diffusers, or equivalent workflow frameworks.
  • Advanced Python programming skills, including automation, API integrations, and development of custom nodes or tooling.
  • Experience training LoRA models from dataset creation through evaluation and deployment.
  • Strong knowledge of AI control techniques, including ControlNet, IP-Adapter, image-to-image workflows, video generation, inpainting, and reference conditioning.
  • Experience deploying AI pipelines as internal production tools.
  • Good visual judgment with the ability to evaluate output quality and consistency.
  • Professional English communication skills (B2 level or higher).
  • Experience with Blender, CAD-based workflows, LLM orchestration, agentic AI workflows, or performance marketing creative production is considered an advantage.
  • Strong leadership, collaboration, and strategic planning skills with the ability to drive technical direction in a fast-paced environment.
Benefits:
  • Fully remote work environment with flexibility to work from anywhere.
  • Generous paid vacation policy.
  • Unlimited paid sick leave.
  • Comprehensive medical insurance coverage.
  • Home office equipment and furniture allowance.
  • Flexible fitness and wellness allowance.
  • Ongoing learning support through books, workshops, conferences, and professional development programs.
  • Opportunity to build and lead a greenfield AI platform with significant technical ownership.
  • Collaborative international team focused on innovation, experimentation, and continuous improvement.
  • Dynamic and engaging company culture with regular team activities and knowledge-sharing initiatives.
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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