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Lead Computational Linguist (Justdone) at Genesis

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years experience in NLP roles, Strong expertise in linguistic principles, Proficient in Python and NLP libraries, Experience with prompt engineering techniques.

Key responsabilities:

  • Develop linguistic rules for text quality
  • Evaluate and refine metrics for text generation
Genesis Tech logo
Genesis Tech Large https://gen.tech/
1001 - 5000 Employees
See more Genesis Tech offers

Job description

We are Boosters, a team of professionals creating fast-growing mobile products that improve the quality of life for millions of customers around the world. With a total audience of more than 30 million users, our products consistently rank among the top apps worldwide.

Our greatest asset is our people — individuals who are driven to grow, develop, and share their knowledge. We currently have 150+ members in our team, and we don’t plan to stop!

We are currently looking for a skilled Computational Linguist to join our dynamic Justdone team. In this role, your main objective will be to play a pivotal role in shaping the future of Justdone.ai - AI writing and research assistant. The mission of this role is to develop from scratch and execute a strategy leveraging NLP and computational linguistics to produce high-quality, original, and transparent content through AI utilization—active involvement in fulfilling the company’s vision and contributing to its commercial success.

Your expertise will drive the development of linguistic rules and evaluation metrics to enhance text quality, ensure contextual relevance, and mitigate biases in generated content. By collaborating with cross-functional teams, you will help tailor the outputs of models to meet user needs, ensuring a seamless and effective writing experience while addressing issues of bias and contextual appropriateness.

ABOUT YOU:
  • At least 3 years of experience in a similar position.
  • Natural Language Processing (NLP): Strong knowledge and experience in NLP techniques, including text segmentation processing, tokenization, parsing, named entity recognition, and sentiment analysis.
  • Prompt Engineering and LLMs: Knowledge of best practices and techniques of prompt engineering, experience developing prompt-based solutions. Knowledge of data annotation with large language models and automated prompt optimization will be a plus.
  • Linguistic Knowledge: Deep understanding of linguistics, including syntax, semantics, pragmatics, and discourse analysis, to inform the development of rules and guidelines for text generation.
  • Programming Skills: Proficiency in programming languages commonly used in NLP, such as Python, along with familiarity with libraries and frameworks like TensorFlow, PyTorch, NLTK, SpaCy, or Hugging Face Transformers.
  • Data Analysis and Evaluation: Experience in analyzing and evaluating text data, including the ability to develop and apply metrics for assessing text quality, coherence, and relevance.
  • Research Skills: Strong ability to conduct literature reviews, stay updated on computational linguistics and NLP advancements, and apply research findings to improve the writing assistant.
YOUR AREA OF IMPACT:
  • Text Quality Improvement: Develop linguistic rules and do prompt engineering to enhance the quality, coherence, and appropriateness of text generated by LLMs.
  • Evaluation Metrics Development: Create and refine metrics for assessing the quality of generated text, focusing on aspects such as grammar, style, fluency, and contextual relevance.
  • Error Analysis: Conduct systematic analysis of model outputs to identify common errors or weaknesses, providing insights that can guide further model fine-tuning and improvement.
  • Annotation Tasks: Develop annotation guidelines, annotate data manually or automatically, and coordinate data annotation tasks to create trustworthy test sets.
  • Bias Mitigation: Identify and address biases in model outputs, ensuring that generated content is fair, representative, and free from harmful stereotypes.
  • Domain Customization: Work on tailoring the outputs of language models for specific domains or audiences, ensuring that the generated text meets users' contextual needs.
  • Research and Development: Stay updated on the latest advancements in computational linguistics and NLP, contributing to ongoing research efforts to improve the writing assistant's capabilities.
WHAT WE OFFER:
  • Work in a team of professionals with an audience of more than one million per month;
  • Philosophy and conditions for your constant growth and development;
  • A large space for implementing your ideas and influencing the product.
CORPORATE BENEFITS:
  • Corporate doctor and medical insurance;
  • Compensation for additional training at external training events and seminars
  • Business and Management School for employees;
  • A large electronic library and access to paid online courses and conferences
  • Internal discussions and workshops
  • Free English courses.
Hit the apply button and let's create the unicorns together! 🦄

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Detail Oriented
  • Collaboration
  • Problem Solving

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