NLP Engineer
18 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Web 3 Ventures | Remote |
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Binance | Taipei, Taiwan |
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Hermeneutic Investments | Remote | $100k - $150k | |||
CEF AI | San Francisco, CA, United States | $150k - $180k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Genies | San Mateo, Portugal | $237k | |||
genies | San Mateo, Portugal | $112k - $120k | |||
Binance | Taipei, Taiwan |
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Genies, Inc. | San Mateo, CA, United States | $112k - $120k | |||
Binance | Taipei, Taiwan |
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Openmesh | Sydney, Australia | $90k - $150k | |||
Genies, Inc. | Remote | $96k - $115k | |||
Binance | Asia |
| |||
Menyala | Singapore, Singapore | $11k - $75k | |||
Menyala | Singapore, Singapore | $63k - $90k | |||
Aldrin | Remote | $90k - $100k |
We're looking for a creative and technically skilled AI Agent Engineer to build next-gen AI-powered tools for our meme coin / DeFi project. If you have experience with LLMs, Telegram bots, and Web3 automation, we want you on our team.
Your mission:
- Develop AI-driven automation tools that enhance community engagement and hype.
- Build AI-powered chatbots for community support, engagement, and information delivery.
- Automate presale updates, milestone alerts, and interactive experiences.
- Integrate AI with Web3 data (wallet tracking, presale progress, referral leaderboards, etc.).
- Ensure real-time, human-like AI interactions that keep the community active 24/7.
🔧 Key Skills:
✅ Experience with LLMs (GPT, Claude, Mistral, fine-tuning models for crypto/memes)
✅ Strong background in NLP, AI chatbots, and community automation
✅ Experience building Telegram bots with real-time interaction
✅ Familiarity with Web3 tech (wallet tracking, blockchain data integration, smart contracts)
✅ Knowledge of crypto culture, meme marketing, and presale dynamics
What does NLP Engineer do?
A Natural Language Processing (NLP) Engineer is a professional who designs and develops software systems that can understand and generate human language
They typically work with machine learning and artificial intelligence (AI) technologies to create NLP solutions for various applications, including chatbots, virtual assistants, search engines, sentiment analysis, and language translation
NLP engineers play a critical role in developing software systems that can understand and generate human language, enabling us to interact with technology in more natural and intuitive ways
The role of an NLP Engineer includes:
- Data preprocessing: NLP engineers are responsible for cleaning, normalizing, and transforming raw text data into a format that can be used by machine learning algorithms.
- Feature engineering: NLP engineers design and develop features that are relevant to the NLP problem they are trying to solve. They extract features such as word frequency, part-of-speech tagging, and sentiment analysis.
- Building machine learning models: NLP engineers use machine learning algorithms such as deep learning, neural networks, and decision trees to train models that can understand and generate human language.
- Evaluating and improving models: NLP engineers evaluate the performance of their models using various metrics such as accuracy, recall, and F1 score. They also use techniques such as cross-validation and hyperparameter tuning to improve model performance.
- Integration: NLP engineers integrate their NLP solutions into larger software systems or platforms, such as chatbots or virtual assistants.