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Sobre este puesto de Freelance Graphic Designer (Reviewer) - AI Training en HumanSignal

HumanSignal · Remoto · Vietnam (Remote)

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.

About the Opportunity
We're looking for graphic design professionals to rate the quality of design work, helping AI models learn what makes a design effective.

Key Details

  • Type: Freelance, project-based opportunity
  • Project length: 6 weeks, with new projects launching regularly
  • Compensation: Paid per accepted task. On this project, you can earn the equivalent of up to $9 per hour, with pay rates varying by country of residence.

What You'll Do

  • Rate design samples for typography, visual hierarchy, design execution, color, layout, and overall polish
  • Follow detailed rubrics to keep your ratings consistent across high volumes of design samples
  • Identify flaws in one slide within the overall design, from minor issues like font size to major ones that require a full reconstruction of the slide
  • Edit the flawed slide using the other slides in the design as a reference, to build more cohesion across the entire design
  • Flag edge cases and unclear examples
 

Please note: you won’t create your own designs. You’ll rate and edit the samples we provide, following our guidelines.

What We're Looking For

Must-haves

  • Education in design or arts (degree or certificate)
  • 2+ years of experience as a graphic designer, SMM specialist, or marketing professional
  • Strong grasp of composition, color theory, typography, visual hierarchy, and overall design effectiveness
  • Exceptional attention to detail and ability to maintain focus during repetitive tasks
  • Openness to feedback and recalibration

Nice to have

  • Design review, art direction or QA experience, with the ability to critique design objectively against industry standards
  • Experience with Figma, Sketch, or other modern design tools
  • Prior data annotation or AI training experience

How It Works

  1. Apply
  2. Register on our platform 
  3. Confirm your identity
  4. Validate your skills
  5. Start earning on projects

Why Join Us

  • Work from anywhere: fully remote, with just a laptop and a stable internet connection.
  • Set your own schedule: work whenever suits you, alongside your current job, studies, or other commitments.
  • Get paid every week: weekly payouts for the work you deliver.
  • Shape the future of AI: your expertise helps train the AI tools people use every day.
  • More projects ahead: once you're validated, get access to new projects that match your skills.
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Cómo se compara este salario de Graphic Designer

Este puesto paga $18,720/yr — por debajo de el rango típico para los puestos de Graphic Designer.

$40,270 la mediana de $106,000 $193,000

Rango típico $77,500–$147,450/yr, a partir de 290 ofertas comparables de Graphic Designer en JobsRadar (salario anualizado en USD). Ver datos salariales de Graphic Designer →

Sobre HumanSignal

We build software that helps people do what only they can do – give meaning.

Data fills our modern world. It flows prolifically inside organizations, customer interactions, product usage, environmental research, healthcare imaging, and beyond. What if we could use any of this historical data to predict the future? In most cases, we can now make predictions through Machine Learning & AI, but to do so in a meaningful and impactful way, historical data needs to be accurate, comprehensive, and without bias.

 

To make the best predictions, we believe teams with domain expertise should be responsible for annotating and curating data. It's called data labeling, and it’s a process of real people giving meaning to the information they see on the screen. HumanSignal was founded to take data labeling operations to the next level and help data scientists make better predictions.

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