Task Spotlight
Image Labeling Jobs
Every vision AI, from self-driving to medical imaging, learns from images that people have labeled. It is the most accessible way into AI work. Live openings are below.
What image labeling is
Image labeling means marking up photos and video frames so vision models can learn to recognize what is in them. You draw boxes around objects, trace outlines, tag categories, or mark key points, following clear rules. Your labels teach the model to tell a pedestrian from a pole or a tumor from healthy tissue. It is the most accessible AI task, rewarding patience and precision more than any background, and it is a common first step that leads to better-paid work.
If you can follow a labeling rule carefully and consistently, you can do this work.
What image labeling pays
It sits at the accessible entry, rising with specialization.
| Type | What you label | Common pay |
|---|---|---|
| General image labeling | Boxes, tags, key points | $15-$25/hr |
| Detailed segmentation | Precise outlines and masks | $20-$32/hr |
| Specialized | Medical, satellite, or expert imagery | $35-$60/hr |
Estimate earnings with the calculator, and see the broader data annotation page.
Who image labeling suits
It fits careful, precise beginners.
- Beginners with no experience who work carefully
- People with strong attention to detail
- Those wanting flexible, async, work-from-anywhere tasks
- Anyone seeking a first step toward better-paid AI work
Live Image Labeling roles, updated weekly
These listings come straight from the current board, so you only ever see roles that are open right now. Each links directly to the platform where you apply.
Browse live image labeling roles →Frequently Asked Questions
What are image labeling jobs?
They involve marking up images and video frames, drawing boxes, tracing outlines, tagging categories, so vision AI can learn to recognize objects. It is the most accessible AI task.
How much do image labeling jobs pay?
General labeling pays about $15 to $25 an hour, detailed segmentation $20 to $32, and specialized imagery like medical or satellite $35 to $60.
Do I need experience?
No. Image labeling is designed for careful beginners. Precision and consistency matter more than any background, and specialized imagery pays more.
Does image labeling lead to better work?
Yes. A strong labeling record is a common on-ramp to higher-paid evaluation and specialized annotation work.
What is the starting pay for Image Labeling work?
Entry level is general image labeling at $15-$25/hr, covering boxes, tags, key points. Rates rise with experience and specialization, reaching $35-$60/hr for specialized.
How do I earn the top rate in Image Labeling work?
The top band, $35-$60/hr, goes to specialized: medical, satellite, or expert imagery. Building a strong quality record and specializing in that area is what moves you up from the entry band.
Where can I find Image Labeling roles right now?
Live Image Labeling openings are aggregated on the NeonLabs Hub job board, filtered to this category. Each listing links directly to the platform where you apply, and applying is always free.
How do I know image Labeling Jobs are not a scam?
Check three things: the platform is named and has a real product, money flows to you and never from you, and payment runs through standard rails such as PayPal, Stripe, or Wise. Every option listed here clears all three. Anything asking for a fee, gift cards, or crypto to get started is not worth your time.
Can a beginner with no experience get started with image Labeling Jobs?
Yes. The usual path is a short skills assessment rather than a job interview, and platforms judge the sample work you submit rather than your resume. Applying takes minutes, and people who are careful and consistent move up to better-paid work quickly.
Can I do image Labeling Jobs part time while working full time?
Yes, and most people do. The work is asynchronous and project-based with no set shifts, so you pick up tasks around your schedule, typically evenings and weekends. There is no minimum hour commitment on the major platforms.