The Senior Director of Machine Learning and Artificial Intelligence will be a strategic leader ... Collaborate with product, engineering, data platform, and other cross-functional teams to identify ...
The Senior Director of Machine Learning and Artificial Intelligence will be a strategic leader ... Collaborate with product, engineering, data platform, and other cross-functional teams to identify ...
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We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
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Gana dinero grabando actividades de tu vida diaria Buscamos personas para grabar actividades cotidianas desde una perspectiva en primera persona utilizando una aplicacion movil. Puedes grabar tareas ...
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D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline * Demonstrated professional experience implementing AI/ML solutions in industry settings
D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline * Demonstrated professional experience implementing AI/ML solutions in industry settings
Gana dinero grabando actividades de tu vida diaria Buscamos personas para grabar actividades cotidianas desde una perspectiva en primera persona utilizando una aplicacion movil. Puedes grabar tareas ...
Gana dinero grabando actividades de tu vida diaria Buscamos personas para grabar actividades cotidianas desde una perspectiva en primera persona utilizando una aplicacion movil. Puedes grabar tareas ...
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Freelance Machine Learning Data Annotation information
See Sunrise, FL salary details
$12.38 - $14.30
4% of jobs
$14.30 - $16.21
20% of jobs
$16.26 is the 25th percentile. Wages below this are outliers.
$16.21 - $18.13
22% of jobs
The median wage is $18.54 / hr.
$18.13 - $20.05
15% of jobs
$20.05 - $21.97
7% of jobs
$23.02 is the 75th percentile. Wages above this are outliers.
$21.97 - $23.88
11% of jobs
$23.88 - $25.80
7% of jobs
$25.80 - $27.72
5% of jobs
$27.72 - $29.63
4% of jobs
$29.63 - $31.55
2% of jobs
$31.55 - $33.47
1% of jobs
$12
$20
$33
How much do freelance machine learning data annotation jobs pay per hour?
What is freelance machine learning data annotation?
What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?
What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?
What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?
| Aspect | Freelance Machine Learning Data Annotation | Data Labeler |
|---|---|---|
| Credentials | Basic understanding of annotation tools, sometimes with specialized domain knowledge | Typically no formal credentials required |
| Work Environment | Remote, flexible, project-based | Often remote or in-house, depending on employer |
| Industry Usage | Used in AI/ML development for training datasets | Used in data preparation for various industries, including AI |
| Search/Comparison Intent | Focuses on freelance opportunities, project scope, and tools | More general, often employed by companies for data labeling tasks |
Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.
Can I work for freelance machine learning data annotation with no experience?
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Cities near Sunrise, FL with the most Freelance Machine Learning Data Annotation job openings:

Senior Director, Machine Learning and Artificial Intelligence
Boca Raton, FL • Remote
Full-time
Re-posted 4 days ago
ADT rating
7.0
Based on 139 frontline employees who took The Breakroom Quiz
44th of 116 rated security
Job description
Summary:
The Senior Director of Machine Learning and Artificial Intelligence will be a strategic leader responsible for driving the development and execution of our machine learning and broader artificial intelligence initiatives. This individual will lead a team of machine learning engineers, AI engineers, and researchers to build and deploy cutting-edge ML models and AI solutions that create business value and enhance our products and services.
The ideal candidate will have a strong technical background in machine learning and artificial intelligence, extensive leadership experience, and a proven track record of delivering impactful enterprise-grade AI solutions. This role requires working closely with business partners while understanding and working within the constraints of the business to maintain a competitive technological edge.
Duties and Responsibilities:
- Team Leadership: Lead and mentor a team of machine learning and AI engineers, fostering a culture of innovation, continuous learning, and excellence.
- Strategic Roadmap: Define and execute the comprehensive ML/AI strategy and roadmap, aligning it with the company's overall business objectives and long-term vision.
- End-to-End Deployment: Oversee the end-to-end development and deployment of machine learning and artificial intelligence models, from ideation and experimentation to production and monitoring.
- Cross-Functional Collaboration: Collaborate with product, engineering, data platform, and other cross-functional teams to identify new opportunities for leveraging traditional ML and advanced AI.
- AI Innovation & Adoption: Stay up-to-date with the latest advancements in machine learning and AI (including Generative AI, Large Language Models, and computer vision), and drive the adoption of new technologies and best practices.
- AI Governance & Ethics: Establish and champion frameworks for responsible AI, ethics, data privacy, and compliance across all model deployments.
- Stakeholder Communication: Communicate the complex value and business impact of machine learning and AI initiatives to senior leadership, C-suite executives, and other stakeholders.
- Roadmap Influence: Influence product and operational roadmaps with actionable data insights and active AI deployments.
- Data Strategy: Build a strategic learning roadmap based on data observations, strategic imperatives, and developed hypotheses, while managing robust data and feature pipelines.
- Education: Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, or a related technical field.
- Domain Experience: 10+ years of experience in machine learning and AI, with a proven track record of building, scaling, and deploying production-level models.
- Leadership Experience: 5+ years of experience leading and managing high-performing machine learning or AI engineering and research teams.
- Technical Expertise: Deep expertise in a variety of machine learning and AI techniques, including deep learning, natural language processing (NLP), reinforcement learning, and Generative AI/Large Language Models (LLMs).
- Programming & Frameworks: Strong programming skills in Python and deep experience with ML/AI frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Core Skills: Excellent leadership, communication, and project management skills.
- Organizational Scaling: Demonstrated success in building and scaling ML/AI organizations from the ground up, including hiring, budgeting, and tool/vendor selection.
- Executive Presence: Proven ability to link ML and AI initiatives to P&L outcomes, with experience presenting comprehensive AI strategies to C-suite executives or Board members.
- Infrastructure Knowledge: High-level architectural understanding of MLOps, LLMOps, cloud infrastructure (AWS/GCP/Azure), and the full model development lifecycle (MDLC).
Minimum Qualifications:
Communication Skills:
Writing, Talking/Hearing on the phone (Continually=67-100% of workday)
Environment Requirements:
Remote/Home office (Continually=67-100% of the workday)
Travel:
Occasionally, less than 25%
About ADT
Sourced by ZipRecruiter
At ADT Commercial, we are in the business of helping people and organizations to protect what matters most to them. Building upon ADT's 145-year legacy, we secure the livelihoods and futures of critical commercial environments, retail location, educational campuses, healthcare facilities and financial institutions across the U.S. as an industry-leading security, fire and life safety systems integrator. We strive to have the most experienced and technically trained and talented teams in the industry, driven by excellence at every turn. At ADT Commercial, we truly believe that our people are the difference - for our organization, the customers we serve and the communities we protect. When you're a part of ADT Commercial, you'll have the opportunity to be a part of that difference every day. With more than 300 locations, a deep national presence, and comprehensive portfolio of solutions and services, our employees are always poised for career advancement and growth. For more information, visit www.adtcommercial.com or follow us on LinkedIn and Facebook.
Industry
Personal services
Company size
10,000+ Employees
Headquarters location
Boca Raton, FL, US
Year founded
1874