Senior Analyst – 2D/3D Image Annotation (Night Shift)

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are seeking an Image Annotation Specialist with 2–6 years of experience in image annotation or image editing. The role focuses on accurate annotation of 2D/3D images using multiple techniques on a client-developed platform.

About Appen

Appen is a leader in AI enablement for critical tasks such as model improvement, supervision, and evaluation. To do this we leverage our global crowd of over one million skilled contractors, speaking over 180 languages and dialects, representing 130 countries. In addition, we utilize the industry's most advanced AI-assisted data annotation platform to collect and label various types of data like images, text, speech, audio, and video.

Our data is crucial for building and continuously improving the world's most innovative artificial intelligence systems and Appen is already trusted by the world's largest technology companies. Now with the explosion of interest in generative AI, Appen is helping leaders in automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products.

At Appen, we are purpose driven. Our fundamental role in AI is to ensure all models are helpful, honest, and harmless, so we firmly believe in unlocking the power of AI to build a better world. We have a learn-it-all culture that values perspective, growth, and innovation. We are customer-obsessed, action-oriented, and celebrate winning together.

At Appen, we are committed to creating an inclusive and diverse workplace. We are an equal opportunity employer that does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.

Job Responsibilities:

• 2 to 6 years of relevant experience in image annotation or image editing.
• Annotate and label images provided by the client with a high level of accuracy.
• Perform image annotation tasks using a client-developed platform.
• Apply various annotation techniques including bounding boxes, polygons, 3D cuboids, lines, splines, and semantic/pixel segmentation.
• Assign identifiers or color codes to entire images or specific regions within 2D/3D images.
• Handle diverse and evolving datasets while strictly adhering to updated guidelines and instructions.
• Participate in process-related activities such as reporting, calibration, upskilling, and action plans to meet defined quality and productivity targets.
• Contribute to workflow improvements and provide constructive feedback to enhance tool functionality and overall process efficiency.
• Collaborate effectively with team members to ensure clear communication and smooth project delivery.

Accountabilities:

• Ensure all annotated outputs meet required quality standards and client guidelines.
• Manage time efficiently to consistently meet productivity and accuracy expectations.
• Actively participate in continuous process improvement initiatives.
• Provide timely and relevant feedback on tasks, tools, and workflows.

Educational Qualification:

• Diploma or graduation in related field
• CAD training (mandatory)

Work Details & Requirements:

• Work schedule - night shifts aligned with the US time zone*(Timings: 9:00 PM – 6:00 AM IST)*

• One Year Fixed Term Contract: (extendable based on performance and project requirements).

• Work Mode: Work From Office (WFO – Madhapur, Hyderabad).

• Ability to work independently in a remote setup with minimal supervision.

• Strong commitment to data accuracy, quality, and efficiency.

• Effective written and verbal communication skills

Skills:

• Strong computer proficiency and organizational skills.
• Ability to perform repetitive tasks with consistency and focus.
• Hands-on experience with image annotation or image editing tools.
• High attention to detail with strong spatial and analytical abilities.
• Proactive mindset with the ability to adapt to evolving tools and workflows.
• Team player with a strong sense of ownership, capable of supporting project milestones.
• Self-motivated and able to maintain productivity in a remote work environment.