Our client is developing software using machine learning algorithms for different applications including optical character recognition, document layout analysis and image analysis. An important part of this development process is collection and labeling of data samples used for training and testing of these algorithms.

Responsibilities:

Successful candidate will be responsible for

• Solving mathematics equations 

• Analyzing math functions 
• Collecting and labeling data samples 
• Evaluation of data collection and labeling tool features 
• Providing feedback in written and verbal form 
• Testing of products 

• Writing daily reports  

Type of engagement:

This is a temporary part-time (20 hours per week) job position based in Belgrade. Due to the ongoing COVID-19 pandemic, some amount of work is done from home, and candidates should ensure they have a personal computer, stable internet connection and sufficiently private working conditions. The engagement typically lasts 3 to 5 months.

Preferred qualifications:

• Student status - the ideal candidate would be a student of Mathematics, Electrical Engineering or a related area 

• Strong math skills 
• Excellent English writing and speaking skills 
• General computer literacy 
• Team-oriented attitude and excellent interpersonal skills 
• Commitment to accuracy, quality and attention to details  

Please make sure you upload your CV, and not just fill in the fields.

DCL FAQ

Employment for this position is done through Omladinska zadruga Beograd. Note that it may require you to obtain a personal work permit if you do not possess Serbian citizenship.

Our client is an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental condition.

 Zainteresovani kandidati treba da pošalju svoj CV, Omladinskoj zadruzi “Beograd”  na email – Ова адреса ел. поште је заштићена од спамботова. Омогућите JavaScript да бисте је видели.