PROFILE AND SKILLS

• Basic computer literacy and IT experience such as basic knowledge of productivity software (e.g. office suites), file manipulation procedures, online platform operation.
• Excellent keyboard typing skills.
• Basic knowledge in mathematics and statistics.
• High adaptability to new tools / applications.
• Capacity to work on repetitive tasks efficiently and effectively with minimal errors.
• Comfortable in handling large data sets on a regular basis, in a highly organized manner.
• Excellent communication, analytical and good reasoning skills.
• Interest in Artificial Intelligence and machine learning.
• Good organisational skills; ability to estimate and to prioritize work appropriately.
• Commitment to agreed estimations (reliability) in order to manage deadlines.
• Proactivity, attention to details.
• Ability to work in a fast-paced, dynamic, collaborative work environment.

ADDITIONAL SKILLS

• Experience with data labelling activities and tools is a plus.
• Experience with image-editing tools.
• University degree is a plus.
  About Everseen
  Everseen is a leader in vision AI. We are transforming business operations for global retailers, driving measurable business value and improving the customer experience.
  We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans.
  We are trusted by major food, drug, mass, and specialty retailers around the world, including Kroger, Meijer, and Woolworths, and we partner with leading hardware, AI, and cloud computing leaders including NVIDIA, NCR, Lenovo, Microsoft, Google and Dell.
  We have created a robust and proven vision AI factory. We are operationalizing vision AI at an unprecedented scale with the largest global footprint of edge AI powered Computer Vision in Retail.
  Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 750 employees globally with European HQ in Cork, Ireland, US HQ in Miami, USA, R&D hubs in Romania, Serbia, Croatia, India and Spain.

THE ROLE

As a Data Factory Specialist you will support the Timisoara Research Team in assessing and improving the quality of our solutions in order to achieve state of the art performance by using both in-house and external tools to accurately analyse and label data.

WHAT YOU’LL DO

• Analyse, report and document issues faced during the data annotation process to the Research Team and discuss solutions to improve data processing efficiency / quality.
• Support researchers in developing machine learning models through accurately categorising content, labelling images / sequences and annotating data.
• Provide continuous feedback for improvement of the internally used toolset (including development of new tools).
• Contribute to workflow process improvements.
• Adhere to internal labelling workflows and project success metrics and timeline
• Keep in sync with researchers to ensure / maintain data quality / throughput consistency.