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Job Post Details
Multilingual Annotators (Spanish, Catalan, Galician, or Basque) (RE2)
Detalles del empleo
Tipo de empleo
- Media jornada
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Descripción completa del empleo
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We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
We are looking for 20 skilled and detail-oriented professionals to analyze, annotate and create data in Spanish, Catalan, Galician and Basque. Your work will be critical in ensuring the quality and accuracy of the multilingual datasets that power our AI models.
The ideal candidate is fluent in at least two languages, has exceptional attention to detail, and is passionate about working at the intersection of language and technology.
- Candidates will be involved in a mix of several evaluation, annotation, and content creation tasks aimed at improving AI models. These includes, among others:
- Identifying undesirable behaviors and vulnerabilities in AI models, performing human evaluations of large language models, and reviewing AI-generated responses for quality.
- Evaluating and labeling LLM-generated and human-generated content, including preference, instruction, and safety-related data.
- Revising synthetic instruction data, creating and refining targeted prompts, and writing or optimizing prompts and responses to enhance model performance.
- Transcribe audio recordings.
- Education
- Bachelor’s degree in Applied Linguistics, Humanities, Information and Documentation Science, Linguistics, Philology, Political Sciences, Primary Education, Social Sciences, Translation, or related fields.
- Or higher vocational education (FPII)
- Essential Knowledge and Professional Experience
- Fluency (Strong written and verbal communication skills) in Spanish and in at least one regional language (Catalan, Galician, or Basque).
- Strong creative and technical writing skills.
- Strong understanding of sociological concepts, like implicit biases, intersectionality, social stereotyping, and human rights/ethics.
- Additional Knowledge and Professional Experience
- Strong understanding of AI systems and hands-on experience in prompt engineering and utilizing LLMs
- We will value previous experience in annotation’s field and using different tools.
- Competences
- Ability to learn and adapt quickly to new technologies and tools.
- Ability to collaborate with a team and/or work independently.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Strong analytical skills.
- Data exploration skills
- The position will be located at BSC within the Life Sciences Department
- We offer a part-time contract (30h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance
- Duration: Temporary - 31/12/2025
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: 25.600,00 €
- Starting date: asap
All applications must be submitted via the BSC website and contain:
- A full CV in English, including contact details.
- A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
For more information, please follow this link.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link
This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.