Elevate the future of Generative AI with Innodata, a leader in data engineering. We're seeking a skilled AI Engineer to enhance data annotation through innovative prompt strategies, collaborating with diverse teams.
Innodata is building a specialized team of Prompt Engineers focused on leveraging large language models (LLMs). This role involves designing effective prompt strategies to improve cultural alignment, accuracy, and localization in workflows. You will collaborate with stakeholders across Product, Data Science, and Operations to create scalable AI-driven solutions that meet customer needs.
Key Responsibilities:
- Collaborate with data scientists and linguists for localization
- Prototype AI models to validate effectiveness and impact
- Develop prompts for data labeling within applications
- Analyze performance using KPIs and ensure quality outputs
- Communicate insights and findings to stakeholders
Requirements:
- 2 years in prompt engineering or related AI roles
- Experience with annotation tools like Labelbox
- Knowledge of LLMs and their fine-tuning
- Familiarity with TensorFlow or PyTorch frameworks
- Strong understanding of data annotation challenges
Drive innovation and efficiency in AI solutions with your expertise at Innodata.
Generative AI Engineer at Innodata in Montréal employer: Innodata Inc.
Innodata is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Analytics Engineer role in our Monetization Data Science & Analytics team. With a strong emphasis on professional growth, employees are encouraged to develop their skills through mentorship and hands-on experience with cutting-edge technologies. Located in a vibrant area, we offer competitive benefits and a supportive environment that values creativity and teamwork, making it a rewarding place to advance your career.
