$11.50 - $15.50/hr
... AI concepts practical and accessible. You will help learners understand how data labeling ... This is a part-time contract position with a remote setup and scheduled sessions aligned with the ...
$11.50 - $15.50/hr
... AI concepts practical and accessible. You will help learners understand how data labeling ... This is a part-time contract position with a remote setup and scheduled sessions aligned with the ...
$94K - $130K/yr
A key focus will be making the system AI-friendly so both developers and AI agents can create ... Implement and maintain theming, white-label capabilities, localization, and right-to-left support ...
$94K - $130K/yr
A key focus will be making the system AI-friendly so both developers and AI agents can create ... Implement and maintain theming, white-label capabilities, localization, and right-to-left support ...
Remote Ai Labeling information
What is remote AI labeling?
Remote AI labeling is a job where individuals annotate or tag data—such as images, videos, text, or audio—from a remote location, typically their home. This labeled data is used to train artificial intelligence and machine learning models to recognize patterns or make decisions. Tasks may include drawing bounding boxes around objects in photos, transcribing audio, or categorizing content. Remote AI labeling jobs are popular for their flexibility and are essential in industries like autonomous vehicles, healthcare, and e-commerce. No advanced technical skills are usually required, though attention to detail is important.
What are some common challenges faced by remote AI labeling specialists, and how can they be addressed?
Remote AI labeling specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring high accuracy, and managing tight deadlines. To address these, it's helpful to establish a structured work routine, use productivity tools to minimize distractions, and regularly review the labeling guidelines to avoid errors. Additionally, many companies provide collaborative platforms and regular feedback sessions, which can help clarify expectations and improve overall performance.
What are the key skills and qualifications needed to thrive as a remote AI labeling specialist, and why are they important?
To thrive as a Remote AI Labeling Specialist, you need strong attention to detail, basic computer literacy, and familiarity with data annotation principles, often supported by a high school diploma or equivalent. Experience with labeling platforms, image or text annotation tools, and sometimes knowledge of data privacy standards are typically required. Being reliable, self-motivated, and able to communicate clearly helps you consistently deliver accurate work and meet deadlines. These skills ensure high-quality labeled data, which is crucial for training effective AI models.
What is the difference between Remote Ai Labeling vs Remote Data Annotation?
| Aspect | Remote Ai Labeling | Remote Data Annotation |
|---|---|---|
| Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Remote, flexible hours | Remote, flexible hours |
| Industry Usage | AI development, machine learning | Data processing, machine learning |
| Job Focus | Labeling data specifically for AI models | Annotating various data types for machine learning |
Remote Ai Labeling and Remote Data Annotation are closely related roles in the AI industry. Both involve working remotely with data, but Ai Labeling focuses specifically on labeling data to train AI models, while Data Annotation encompasses a broader range of data types and tasks. Understanding these differences helps job seekers find roles that match their skills and career goals.
What are popular job titles related to Remote Ai Labeling jobs in Missouri?
For Remote Ai Labeling jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Ai Labeling jobs in Missouri look for?
The top searched job categories for Remote Ai Labeling jobs in Missouri are:
What cities in Missouri are hiring for Remote Ai Labeling jobs?
Cities in Missouri with the most Remote Ai Labeling job openings:
$11.50 - $15.50/hr
Full-time
Posted 11 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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