MSc Data Science Natural Language Processing Online Tutor

The University of London

The University of London is one of the largest and most diverse higher education institutions in the world. With a mission to transform lives through knowledge, it delivers high quality academic programmes, brings benefits to society through its research in the humanities and social sciences, and leverages intellectual connections through public engagement.

The Opportunity

The University of London is accepting applications for Online Tutors to support the online MSc Data Science programme, with academic direction from Goldsmiths.  

We are looking for enthusiastic and motivated individuals with experience in higher education and distance learning. In particular, applicants will need to have extensive experience of undertaking assessment duties similar to those outlined in the role description.

The Online Tutor’s tasks include support to students via the Coursera platform; marking coursework assignments and providing feedback. Each Online Tutor will be supported by a Module Leader and Programme Director and will work closely with University of London’s Programme Managers. 

Location: Remote

Employment Type: Self-employed contractor

Hours per week: Not specified, payment is based on duties undertaken within a study session.

Salary: £1,396.92 flat fee per study session. Assessment marking is paid separately at £23.60 per coursework assignment, and £13.06 for each exam marked.

Module specification

As an Online Tutor, you will be required to provide academic support for the following module on the MSc Data Science programme:

Natural language processing

Machine processing of natural language is a key target for the application of Data Science techniques. It has a range of specialised techniques that are being developed in a large and growing research field of Natural Language Processing (NLP). Students who take this module will gain a solid grasp and practical experience of those techniques.

In addition, NLP is intended to provide students with a grounding in both rule-based and statistical approaches to NLP, and combines theoretical study with hands-on work employing widely used software packages. The module focuses on text processing and does not deal with speech or multimodal communication.

Further module details can be found in the Programme Regulations, available here.  

Candidate Profile

You will be a motivated individual who enjoys working with students and who is driven to support students to achieve success in their studies.

You will have experience working in a Higher Education Institution and have a computer science or related undergraduate qualification with good programming skills, particularly skills in JavaScript programming language. 

Further details can be found in the person specification.

How to Get Involved

To apply, please submit your CV and a covering letter detailing your experience and how you meet the person specification.

If you have any queries in relation to this opportunity, please contact Charlotte Richards at charlotte.richards@london.ac.uk 

The closing date for applications is 31 July 2024.

The University of London is committed to promoting a diverse and inclusive working environment where we can all be ourselves and succeed. We particularly encourage applications from members of Black, Asian, and Minority Ethnic communities as this group is currently under-represented at all levels within the University. All appointments will be made on merit, based on the criteria identified in the job description.

The University reserves the right to close the vacancy earlier than the published end date should it receive sufficient applications to warrant earlier shortlisting.

Pursing excellence in education and equal opportunities.

Advert information