Contract Opportunity | On-site, 5 days per week in Dublin
Job Overview:
The main function of a data annotation analyst is to create and manage data labels. You will also collaborate closely with our operations team to generate insights and optimize the labelling process.
You will play a pivotal role in the development of AI and ML models, ensuring the accuracy and relevance across both integrity and support use cases
Responsibilities:
* Become an expert in various integrity and support issues across Operations
* Create and modify data labels, ensuring compliance to all regulatory and legal requirements.
* Ensure the quality of labelled data sets, ensuring alignment to content policies and/or support processes.
* Partner with team members to improve processes and tools of the team’s labelling interfaces.
* Deliver insights as appropriate related to observed trends in data labelling workflows.
Typical Day in the Role:
* Policy reasoning rationing
* Conducting review/investigation work for a specific tool – annotating on content
* Set number of annotations to be confirmed
* Working with XFNs (tech, integrity and product)
* New technology, skills set critical thinking and strong language skills, articulate to Gen AI why its good and/or bad, language is key, have to be able to communicate effectively. Can collaborate with XFN’s, take insights and translate to technical teams.
Required Qualifications:
* Bachelor’s degree or equivalent work experience in related field(s) (e.g. Computer Science, Information Systems, Intelligence Studies, Cybersecurity, Mathematics, Business Administration, etc.).
* Professional experience in an office setting, working in an autonomous role.
* Experience in data review and/or labelling processes.
* Ability to identify trends within large data sets.
* Ability to learn complex policies/concepts quickly.
* Experience working under pressure to fulfil quotas while also maintaining a level of high quality output.
* Willingness to work on repetitive tasks and to find/communicate patterns observed within those tasks
Top 3 must-haves:
* Proof of working in regimented work setting
Good to haves:
* Ability to work in fast paced quota type work
* Able to work in ambiguous scenarios
* Proven ability to learn complex policies/concepts fast
Preferred Qualifications:
* Ability to work with a team spanning multiple locations/time zones.
* Ability to work in a fast-paced, dynamic environment, adapt to changes, and prioritize competing requests.
* Excellent communication skills, verbal and written.
* Demonstrated ability to take broad direction, working without step-by-step guidelines.
* Proficiency in MS Office (Word, Excel, PowerPoint) and/or Google Suite.
Seniority level
* Seniority level
Associate
Employment type
* Employment type
Contract
Job function
* Job function
Other and Information Technology
* Industries
Staffing and Recruiting
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