Summa Linguae Technologies

Business Development Rep

• Identify, prospect, and close new enterprise accounts across industries with high AI adoption (Tech, Healthcare, Fintech, Automotive, etc.).
• Own the full B2B sales lifecycle—from outreach and qualification to proposal, negotiation, and closing.
• Sell complex AI/ML data solutions, including: Data annotation & categorization, LLM training datasets and prompt evaluation, Text-to-SQL transformation, Synthetic data generation, and more.
• Collaborate with solution architects and delivery teams to scope and present tailored offerings.
• Build and maintain a qualified sales pipeline using CRM tools (HubSpot).
• Represent the brand at U.S.-based AI summits, conferences, and networking events to generate qualified leads.
• Provide market intelligence and insights to inform product positioning and go-to-market strategy.

Business Development Manager – AI, Data

Technical Project Manager

• Own the end-to-end coordination of data deliveries, from intake to validation and handoff.
• Work with client data delivered via S3 buckets or direct uploads; ensure correct structure, completeness, and readiness for downstream use.
• Translate client guidelines into automated validation using SQL, regex, and supporting scripts.
• Create and compute quality and consistency metrics such as: WER (Word Error Rate) maintain Python utilities IAA (Inter-Annotator Agreement).
• Use Windows Command Prompt for bulk file operations (creating/moving/downloading folders and files) to support processing and delivery workflows.
• Partner with internal development teams by writing Jira tickets for platform improvements and bug fixes (requirements, steps to reproduce, acceptance criteria).
• Quickly ramp on internal platforms and configuration logic (e.g., work types/templates), advising on setup patterns and trade-offs.
• Investigate issues by querying datasets through database tools and producing clear summaries of findings and next steps.

Technical Project Manager – AI Data Processing

Engineer

• Lead and contribute to the development, validation, and optimization of SSD product lines
• Independently detect, triage, and diagnose test failures, create detailed defect reports, and drive issues through to resolution
• Actively participate in and contribute to peer code reviews, defect management, and validation strategy improvements
• Perform bug fixing and firmware validation of SSD firmware and NVMe features on complex embedded multi-core architectures
• Partner closely with Firmware Engineers to optimize NVMe features for high-performance next-generation SSD products
• Provide clear, proactive technical status updates to domain leads on development and validation progress
• Identify and report sightings and pre-sightings for suspected firmware issues before escalation
• Use advanced diagnostics and debugging tools to analyze and isolate design and firmware defects
• Serve as a technical representative in monthly and quarterly client meetings
• Contribute to process improvement initiatives, validation framework enhancements, and tooling optimizations

Intermediate Validation Engineer

Content Marketing Manager

• Use your existing real-world content to help build next-gen AI across global languages
• Accepted content includes: Emails, Chats & SMS, Notes, Files, Screenshots, Webpages, Audio transcripts, Photos

Data Collection Project – Multilingual Real-World Content

Graphics Designer

• Creating a dataset of diagram images paired with one of two types of technical artefacts: Diagram + HDL code (Verilog/SystemVerilog) or Diagram + English technical explanation of the diagram
• Workload distribution: 50% code-based, 50% description-based.
• The required diagram types include: circuit diagrams, timing diagrams (waveforms), state diagrams (finite state machines).

Digital Design Diagram Creator

AI Research Scientist

• Conduct applied research related to AI model evaluation, data quality, and validation methodologies
• Co-author research papers, technical reports, and whitepapers
• Implement research prototypes and experimental systems
• Support internal R&D initiatives in areas such as Agentic AI systems, LLM evaluation and validation, Speech and multimodal model assessment, Data-centric AI methodologies
• Collaborate with the engineering team to translate research ideas into practical workflows
• Develop experimental code and proof-of-concept implementations
• Work with datasets used for training, evaluation, and benchmarking
• Design experiments and analyze results
• Write technical blog articles explaining recent advances in AI and ML
• Translate complex research topics into accessible technical content
• Support marketing and communications teams with technically accurate material
• Contribute educational materials and technical explainers
• Attend academic and industry conferences
• Engage with researchers from AI companies and academia
• Discuss research topics, evaluation challenges, and data requirements
• Identify opportunities for collaboration related to dataset needs and model evaluation
• Maintain professional follow-up communication after conferences

Business Development Manager – AI, Data

Technical Project Manager – AI Data Processing

Intermediate Validation Engineer

Data Collection Project – Multilingual Real-World Content

Digital Design Diagram Creator

AI Researcher, Internship