Prompt Engineer

Job not on LinkedIn

🔥 34 minutes ago

🇨🇦 Canada – Remote

💵 $80k - $90k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

👷🏻‍♀️ Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InnoData

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• Design and implement prompt strategies to improve accuracy, localization, and cultural alignment in data labeling and translation processes • Translate business requirements into scalable AI-driven solutions with Product, Data Science, Operations, and client stakeholders • Identify automation opportunities and develop prompt-based workflows • Continuously measure and refine performance to ensure quality and reliability • Collaborate with data scientists, linguists, and localization experts • Prototype and validate AI models • Design, develop, and implement prompts for data labeling and localization within software applications • Understand software stack components, use cases, data structures, data formats, and data modeling to iterate on solutions • Conduct user testing and feedback analysis to optimize prompt design • Analyze model performance using KPIs and metrics against customer acceptance criteria • Communicate technical findings and solution strategies to technical and non-technical stakeholders • Collaborate on data pipelines and workflows integrating LLMs into automated systems • Create guidelines and training materials for prompt usage • Monitor industry trends and tools in data labeling and localization

🎯 Requirements

• 2 years of prompt engineering / LLM fine-tuning, or related AI/ML roles • Familiarity with tools/platforms for annotation and human-in-the-loop workflows (e.g., Labelbox) • Experience designing and automating data annotation workflows • Knowledge of data annotation and the challenges of scaling human-in-the-loop workflows • Familiarity with cloud platforms, containerization, and model deployment • Deep understanding of LLMs, including transformer-based architectures • Demonstrated experience programmatically using LLMs to automate data labeling, classification, localization and annotation tasks • Strong expertise in Python for NLU, data processing and transformation, and statistical analysis • Familiarity with JSON, Javascript or XML • Experience with TensorFlow, PyTorch, Jupyter, and other relevant AI/ML tools • Familiarity with APIs and platforms for working with LLMs, such as OpenAI and Hugging Face • Knowledge of localization best practices and cultural nuances for different languages and regions • Strong understanding of LLM evaluation metrics and ability to assess model reliability, bias, and generalizability • Experience working with data pipelines, automation tools, and integrating models into production systems