Find Ai/machine learning Jobs in Dublin, D

Content Labelling Associate – Virtual Reality (VR) Applications – CL13
Accenture —Dublin, County Dublin
- Weekend availability
- Management
- English
- Microsoft Office
1d
Senior Expert Data Science, AI Methods
Novartis —Dublin, County Dublin
- €63,490–€117,910 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Machine Learning Engineer
Equifax —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
- Gym membership
- Sick pay
Data Scientist
Deloitte —Dublin, County Dublin
- €53,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Work from home
AI & Intelligent Automation Consultant (Retail Banking)
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Mentoring
- AI
- Leadership
Sr Machine Learning Engineer
paypal —Dublin, County Dublin
- Full-time
- Azure
- Engineering
- Java
- Annual leave
Data Scientist
CarTrawler —Dublin, County Dublin
- Hybrid work
- Doctoral degree
- Master's degree
- SQL
- Annual leave
- Employee assistance program
Event Program Coordinator - Dublin - 9 Month FTC
Algomarketing® —Dublin, County Dublin
- €200–€275 a day
- Hybrid work
- Project management
- Bachelor's degree
- Communication skills
Quick apply
Build the Future of AI with Us – Dublin (Hybrid)
Dun & Bradstreet —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
- Annual leave
Quick apply
Head Clinical Development AI & Technology
Novartis —Dublin, County Dublin
- €144,130–€267,670 a year
- Full-time
- Hybrid work
- Engineering
- Master's degree
- No degree
5d
Senior Staff Machine Learning Scientist, Recommendations
Adswizz —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
Head/Director of Product (AI Insights & Automation)
Mimica —Dublin, County Dublin
- Full-time
- Remote
- English
- AI
- Annual leave
- Work from home
Senior Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
- Referral programme
Data & AI Consultant – Senior Consultant to Manager
Grant Thornton —Dublin, County Dublin
- Full-time
- Azure
- SQL
- Analysis skills
Data Scientist (Face Biometrics)
Daon Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- English
Quick apply
AI Research Engineer (Model Compression & Quantization)
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Staff Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €295,000–€355,000 a year
- Master's degree
- AWS
- Bachelor's degree
Director, AI Enablement, Corporate Affairs
Novartis —Dublin, County Dublin
- €102,200–€189,800 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- Engineering
4d
AI Transformation Lead (FMCG)
Hadfield Green —DUBLIN 2, County Dublin
- Azure
- ERP systems
- AWS

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Content Labelling Associate – Virtual Reality (VR) Applications – CL13

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
1 day ago

Qualifications

Management
English
Microsoft Office
Analysis skills
Bachelor's degree
Organisational skills
Communication skills

Full job description

Position: Content Labelling Associate – Virtual Reality (VR) Applications – CL13

Location: Client Office, Ballsbridge, Dublin

Schedule: Monday to Friday, 11:00 AM – 8:00 PM (Weekend or shift rotation may be required based on business needs.)

Work Mode: Full-time, On-site (100%)

As a Content Labelling Associate supporting Virtual Reality (VR) applications, you will help improve the quality, organisation, and discoverability of VR content by accurately reviewing and labelling applications in line with client guidelines.

Your work will contribute to the creation of high-quality datasets that support AI and machine learning models, improve platform experiences, and ensure content is accurately categorised. This requires strong analytical skills, attention to detail, consistency, and the ability to apply detailed labelling guidelines across a variety of VR applications and experiences.

Key Responsibilities

Review, classify and/or remove content according to client guidelines, using specific tools and channels

Understand and remain updated on changing client policies and guidelines

Investigate, resolve, and relay complex content issues to the broader Trust and Safety team

Review and accurately label Virtual Reality applications in accordance with client guidelines.

Apply content labels, classifications, and metadata consistently to support high-quality datasets.

Evaluate application features, functionality, and user experiences to ensure accurate categorisation.

Maintain high standards of quality, accuracy, productivity, and turnaround time across all assigned work.

Perform quality checks and escalate complex or ambiguous cases where appropriate.

Follow client policies, procedures, and evolving labelling guidelines to ensure consistent decision-making.

Work across multiple tools, systems, and platforms to complete review tasks efficiently.

Participate in calibration sessions, quality reviews, training, and knowledge-sharing activities.

Identify opportunities to improve processes, workflows, and overall labelling quality.

Support the responsible use of AI-enabled tools and digital technologies to improve operational efficiency.

Complete all mandatory client and Accenture training within required timelines.

Collaborate effectively with Team Leads and colleagues while contributing to a positive and inclusive team culture.

Maintain professionalism, accountability, and attention to detail in all aspects of your work.

Preferred Skills & Experience

Must have gaming experience/good knowledge

Previous experience in content labelling, data annotation, quality assurance, operations, or similar analytical s is desirable.

Interest in virtual reality technologies, gaming, digital content, or emerging technologies.

Strong analytical and problem-solving skills.

Excellent attention to detail and ability to follow detailed guidelines consistently.

Ability to work independently while managing competing priorities.

Comfortable adapting to evolving client requirements and processes.

Proficiency with Microsoft Office and web-based applications.

Strong written communication and organisational skills.

Performance Expectations

Successful candidates will be expected to:

Deliver consistently high-quality work while meeting agreed productivity and turnaround time targets.

Maintain accuracy and consistency when applying content labelling guidelines.

Demonstrate sound judgement and attention to detail across all review activities.

Adapt quickly to new client requirements, technologies, and process updates.

Participate in continuous improvement initiatives and contribute ideas that enhance workflow efficiency and service quality.

Complete all mandatory client, technology, and AI learning programmes within required timelines.

Demonstrate professionalism, integrity, and accountability in all interactions.

You will be responsible for analyzing and reviewing user profiles, audio, videos, and text-based content and/or investigating, escalating and/or resolving issues that are reported by users or flagged by the system. Due to the nature of the , the individual may be exposed to flashing lights or contrasting light and dark patterns.

Content moderation is meaningful work that helps keep the internet safe. It may also be challenging, at times. In the context of this , individuals may be directly or inadvertently exposed to potentially objectionable and sensitive content (e.g., graphic, violent, sexual, or egregious). Therefore, content moderators need strong resilience and coping skills. We care for the health and well-being of our people and provide the support and resources needed to perform their responsibilities. Active participation in Accenture’s well-being support program, designed specifically for the Trust & Safety community, provides valuable skills to promote individual and collective well-being.

Language(s) Required: English: As part of the interview process, you will be required to complete an English language test and a language test in the relevant language for this role. You will be advised of the level you are required to achieve to successfully carry out the role.

Basic Qualifications:

Strong coping, emotional resilience, and stress-management skills.
Excellent comprehension and communication skills
Ability to perform duties objectively, devoid of inherent biases or personal beliefs, in the best interest of client policies
Strong attention to detail
Comfort synthesizing and analyzing information from multiple streams
Strong critical thinking and decision-making skills
Associate's or bachelor's degree
1+ year of experience in content review, content labeling, taxonomy, or related field
Excellent attention to detail and analytical skills
Ability to work independently and as part of a team
Strong communication and problem-solving skills
Ability to identify gaps in instructional material such as SOPs and playbooks

Apply Now

Refine Your Search

ai/machine learning jobs in dublin, d

Content Labelling Associate – Virtual Reality (VR) Applications – CL13

Senior Expert Data Science, AI Methods

AI Research Engineer (Model Compression & Quantization) - 100% Remote Worldwide

Senior Machine Learning Engineer

Data Scientist

AI & Intelligent Automation Consultant (Retail Banking)

Sr Machine Learning Engineer

Data Scientist

Event Program Coordinator - Dublin - 9 Month FTC

Build the Future of AI with Us – Dublin (Hybrid)

Head Clinical Development AI & Technology

Senior Staff Machine Learning Scientist, Recommendations

Head/Director of Product (AI Insights & Automation)

Senior Data Analytics & AI Engineer

Data & AI Consultant – Senior Consultant to Manager

Data Scientist (Face Biometrics)

AI Research Engineer (Model Compression & Quantization)

Staff Software Engineer, Inference

Director, AI Enablement, Corporate Affairs

AI Transformation Lead (FMCG)

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