... annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the ...
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... annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the ...
Senior Data Engineer / Data Curator
$130K - $177K/yr
Experience with data annotation tools and platforms for manual or semi-automated labeling. * Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization.
Senior Data Engineer / Data Curator
$130K - $177K/yr
Experience with data annotation tools and platforms for manual or semi-automated labeling. * Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization.
Senior Data Engineer / Data Curator
Phoenix, AZ · On-site
$130K - $177K/yr
Experience with data annotation tools and platforms for manual or semi-automated labeling. * Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization.
Senior Data Engineer / Data Curator
Phoenix, AZ · On-site
$130K - $177K/yr
Experience with data annotation tools and platforms for manual or semi-automated labeling. * Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization.
Senior Data Engineer / Data Curator
Phoenix, AZ · On-site
$130K - $177K/yr
Experience with data annotation tools and platforms for manual or semi-automated labeling. * Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization.
Senior Data Engineer / Data Curator
Phoenix, AZ · On-site
$130K - $177K/yr
Experience with data annotation tools and platforms for manual or semi-automated labeling. * Experience with NLP data formats, such as JSONL, text, or embeddings, and an understanding of tokenization.
Annotation Labelling information
What is annotation labelling?
Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.
What are the key skills and qualifications needed to thrive as an annotation labelling specialist?
To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.
What are some common challenges faced by annotation labelling professionals, and how can they be managed?
Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.
What is the difference between Annotation Labelling vs Data Labeling Specialist?
| Aspect | Annotation Labelling | Data Labeling Specialist |
|---|---|---|
| Credentials | Basic technical skills, attention to detail | Similar skills, sometimes additional domain knowledge |
| Work Environment | Data annotation platforms, remote or office | Data annotation tasks, often remote or in-office |
| Industry Usage | AI, machine learning, autonomous vehicles | AI, machine learning, healthcare, retail |
| Search & Comparison | Commonly compared for entry-level data tasks | Related but broader role |
Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.
What are popular job titles related to Annotation Labelling jobs in Arizona? For Annotation Labelling jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Annotation Labelling jobs in Arizona look for? The top searched job categories for Annotation Labelling jobs in Arizona are:
What cities in Arizona are hiring for Annotation Labelling jobs? Cities in Arizona with the most Annotation Labelling job openings:
Job description
About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
AI Content Creator — Get Paid to Create Short-Form Content!
Do you love being on camera? Enjoy creating content and telling stories? Want to get paid competitively for short, flexible projects you can do on your own schedule?
We're looking for engaging, creative individuals to join us as AI Content Creators. In this role, your personality and creativity are your biggest assets. You'll help shape the future of AI by producing short-form video content based on project briefs — no two assignments are exactly alike.
What You'll Do
As an AI Content Creator, you will:
- Film short video clips ranging from 30 seconds to 2 hours based on project guidelines
- Create content across a variety of topics, formats, styles, and settings
- Follow detailed creative briefs to ensure content quality, variation, and accuracy
- Upload completed content through provided tools and platforms
- Work independently, manage your own time, and meet project deadlines
- Support the development and improvement of next-generation AI technologies
Who You Are
You'll thrive in this role if you:
- Are comfortable and confident on camera
- Are reliable, self-motivated, and can take direction well
- Enjoy task-based, flexible work that changes from project to project
- Have a smartphone or camera capable of shooting quality video
- Can follow creative briefs carefully and consistently
- Experience as a content creator is a plus, but not required
Why You'll Love This Role
- Competitive pay — average $80/hour for approved work
- Flexible schedule — create content when and where it fits your life
- Perfect for creators, performers, and anyone who loves being on camera
- A chance to directly influence cutting-edge AI systems
- No prior experience required — just confidence, creativity, and a willingness to show up!
If you're ready for gig work that lets you express yourself and get paid for it, we'd love to have you. Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal.
Up to $80/hour for US-based candidates.
About HumanSignal
Sourced by ZipRecruiter
Industry
Software development
Company size
51 - 200 Employees
Headquarters location
San Francisco, CA, US
Year founded
2019