$11.50 - $15.50/hr
You will help learners understand how data labeling influences machine learning systems, generative ... This is a part-time contract position with a remote setup and scheduled sessions aligned with the ...
$11.50 - $15.50/hr
You will help learners understand how data labeling influences machine learning systems, generative ... This is a part-time contract position with a remote setup and scheduled sessions aligned with the ...
Remote Video Labelling information
What is remote video labelling?
Remote video labelling is the process of watching video footage and accurately annotating or tagging objects, actions, or events within the video, all while working from a remote location, usually from home. This work is essential for training machine learning and AI models, particularly in fields like autonomous vehicles, security, and content moderation. Video labellers use specialized software to mark frames and provide metadata that helps computers understand visual information. Attention to detail and consistency are crucial in this job to ensure high-quality labelled data.
What are the key skills and qualifications needed to thrive as a remote video labelling specialist?
To thrive as a Remote Video Labelling Specialist, attention to detail, basic computer proficiency, and a high school diploma or equivalent are generally required. Familiarity with annotation tools, video editing software, and data labeling platforms is typically expected, with some roles preferring experience in machine learning or data management systems. Strong time management, focus, and effective communication skills help individuals excel in independent, deadline-driven environments. These skills ensure accurate data labeling, which is crucial for training high-quality AI and machine learning models.
What are some common challenges faced by remote video labelling professionals, and how can they be managed?
Remote video labelling professionals often encounter challenges such as staying focused during repetitive tasks, ensuring accuracy when identifying subtle visual details, and managing communication with team members across different time zones. To address these, it's helpful to set up a distraction-free workspace, take regular breaks to maintain concentration, and use collaborative tools to stay connected with supervisors and peers. Additionally, following established labelling guidelines and participating in quality assurance sessions can help maintain consistency and accuracy in your work.
What is the difference between Remote Video Labelling vs Remote Image Annotation?
| Aspect | Remote Video Labelling | Remote Image Annotation |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote, flexible hours |
| Industry Usage | Autonomous vehicles, surveillance, AI training | Object detection, medical imaging, retail |
| Search & Comparison Intent | Understanding differences in data labeling roles | Understanding differences in annotation tasks |
Remote Video Labelling involves annotating video data frame-by-frame, often requiring temporal consistency, while Remote Image Annotation focuses on labeling individual images. Both roles are remote, require attention to detail, and are used in AI training across various industries. The main difference lies in the data type: videos versus images, with video labelling demanding more complex, time-sensitive annotations.
What are popular job titles related to Remote Video Labelling jobs in Missouri?
For Remote Video Labelling jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Video Labelling jobs in Missouri look for?
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What cities in Missouri are hiring for Remote Video Labelling jobs?
Cities in Missouri with the most Remote Video Labelling job openings:
$11.50 - $15.50/hr
Full-time
Posted 8 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 Lead Instructor: Machine Learning Data Associate based in Netherlands.
This is an opportunity to lead engaging, high-impact virtual learning experiences for diverse audiences developing skills in machine learning and AI data workflows. You will deliver live technical instruction in German while collaborating professionally in English with program and operations teams. The role combines technical expertise, instructional leadership, and the ability to make complex AI concepts practical and accessible. You will help learners understand how data labeling influences machine learning systems, generative AI, multimodal models, and applied AI workflows. Sessions may range from smaller groups to audiences of thousands of learners in a highly interactive online environment. You will also contribute to curriculum refinement and continuous course improvement. This is a part-time contract position with a remote setup and scheduled sessions aligned with the EST/CEST time zones.
Accountabilities
- Lead and facilitate live virtual classes for diverse learner groups, potentially ranging from 100 to more than 8,000 participants, while maintaining strong engagement and an effective learning environment.
- Deliver technical instruction in German on machine learning data workflows, generative AI, foundation models, prompt engineering, RAG, multimodal AI, responsible AI, and related concepts.
- Explain how data collection, annotation, labeling decisions, model training, evaluation, and deployment are connected, helping learners understand the downstream impact of their work.
- Manage virtual classroom dynamics, including Q&A, chat activity, pacing, learner engagement, and timely delivery of planned content.
- Adapt instructional approaches, explanations, and lesson pacing to accommodate learners with different backgrounds and levels of technical understanding.
- Prepare thoroughly for each lecture and ensure that technical content is delivered accurately, clearly, and in an accessible manner.
- Collaborate with program and operations teams in English to support smooth delivery, communicate updates, escalate issues, and maintain alignment on schedules and learner needs.
- Contribute to curriculum design and continuous improvement, including suggesting edits, refining lessons, and supporting the development of hands-on learning activities.
- Provide constructive feedback before and after sessions to strengthen course quality and learner outcomes.
- Maintain a professional, respectful, responsive, and empathetic presence when interacting with learners, colleagues, contractors, and guest speakers.
- Fluency in German sufficient to deliver all instruction and learner support professionally, combined with strong English proficiency for written communication, meetings, alignment, and issue escalation.
- Strong practical understanding of the machine learning lifecycle, including data collection, model training, evaluation, and deployment, with the ability to explain how labeling decisions affect model behavior and downstream outputs.
- Solid knowledge of generative AI and foundation models, including concepts such as pre-training, fine-tuning, reinforcement learning from human feedback (RLHF), and human feedback for model alignment.
- Hands-on experience with prompt engineering, including zero-shot, one-shot, and few-shot prompting, and the ability to teach learners how to interpret requirements, identify task constraints, and evaluate output quality.
- Working knowledge of Retrieval-Augmented Generation (RAG) and production AI workflows, including the ability to explain how to assess outputs for relevance, faithfulness, and groundedness.
- Understanding of multimodal and cross-modal AI, including how models process and generate text, images, audio, and video, and how these capabilities influence annotation and evaluation tasks.
- Knowledge of responsible AI, privacy, confidentiality, security, bias awareness, and transparency principles relevant to data labeling and AI workflows.
- Demonstrated experience delivering high-quality live virtual instruction, ideally to large and diverse audiences.
- Experience supporting technical curriculum development, lesson refinement, skills labs, or similar instructional content.
- Strong communication, presentation, empathy, adaptability, and classroom-management skills, with the ability to make complex technical concepts easy to understand.
- A positive and collaborative mindset, with strong attention to preparation, professionalism, responsiveness, and continuous improvement.
- Preferred: AWS Certified AI Practitioner (AIF-C01) certification or equivalent expertise, particularly experience aligning training content with certification domains and supporting exam readiness.
- Remote work: Work remotely from Romania or another location compatible with the required time zone.
- Part-time contract: Flexible engagement structured around scheduled instructional sessions and program needs.
- Virtual-first environment: Deliver impactful learning experiences entirely online using modern virtual classroom tools.
- High-impact teaching: Reach diverse learner populations and contribute to workforce development in AI and data.
- Professional collaboration: Work alongside program, operations, and instructional teams in an international environment.
- Curriculum involvement: Contribute ideas and expertise to the development and continuous improvement of technical training content.
- Potential schedule flexibility: Program dates and lecture times may be adjusted depending on program requirements and instructor availability.
- Inclusive environment: Participate in a learning culture focused on respect, accessibility, diversity, and equal opportunity.
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!
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