Review AI-generated lexical transcripts and convert them into display text by applying punctuation, capitalization, and formatting rules.
Keep all original words exactly as provided, using reference audio only when necessary.
Follow detailed project guidelines and quality standards, completing assigned tasks within deadlines.
TSMG provides AI data collection and language services. We are looking for contributors to support an AI language project focused on improving speech recognition systems.
Analyze product usage and customer behavior across LeadGen products to identify trends, friction points, and growth opportunities.
Define, monitor, and analyze key product metrics including activation, adoption, engagement, retention, conversion, and monetization.
Partner with Product Managers to size opportunities, validate hypotheses, and measure feature launches to drive data-driven decisions.
HighLevel is an AI-powered business operating system that helps agencies, entrepreneurs, and SMBs build, automate, and scale their businesses. With over 2,000 team members across 10+ countries, it operates as a global, remote-first organization built for speed and ownership.
Listen to recorded audio files in the target language and transcribe conversations accurately.
Follow formatting and transcription guidelines, review and correct errors.
Complete assigned tasks within deadlines and maintain confidentiality of materials.
We are a field data collection company founded in 2017 in Europe. Our teams support projects involving speech recording, transcription, image and video collection, mapping, and AI training across Europe and North America.
Design and build scalable, fault-tolerant data pipelines for batch and streaming architectures.
Own data quality and observability end-to-end with monitoring, alerting, and automated testing.
Architect enterprise-grade datasets using appropriate modeling approaches like dimensional modeling or Data Vault.
The company builds foundational data infrastructure for analytics and AI at enterprise scale. The engineering team fosters a technically ambitious environment focused on long-term platform health and scalable architecture.
Design and deploy AI-driven applications, RAG pipelines, and agentic systems for real-world enterprise use.
Build semantic search and vector-based retrieval layers using LangChain, LlamaIndex, and embedding models.
Process large-scale datasets with Python, PySpark, and SQL, and design scalable data warehouse architectures.
They build next-generation intelligent, agentic AI systems that can reason, retrieve information, and execute complex workflows. They focus on innovation, remote work, and employee growth, offering a collaborative and inclusive environment.
Build next-generation 'Agentic' systems by bridging raw data and actionable AI.
Develop autonomous agents that can reason, search, and execute complex workflows.
Apply expertise in GenAI, data engineering, and software craftsmanship to production standards.
Anovia is a technology outsourcing support provider specializing in telecommunications, workflow, and knowledge processes. They have over 200 professional experts globally and service Fortune 500 and Fortune 1000 companies.
You will lead the architecture, engineering, and operations of a modern Azure-based data ecosystem.
You will build and mentor high-performing teams while partnering with global stakeholders.
You will drive data-driven innovation and AI capabilities to enable smarter decisions.
The organization is dedicated to improving healthcare and accelerating life-science research. It operates with a globally distributed technology team and emphasizes innovation in data and AI.
Deliver end-to-end data analytics projects for clients, translating business challenges into actionable strategies.
Apply statistical and analytical techniques to identify opportunities for growth, profitability, and customer engagement.
Translate complex analytical findings into clear business recommendations and compelling data-driven narratives.
Visa is a global payments technology company connecting consumers, businesses, and financial institutions. As a large multinational organization, Visa promotes a collaborative culture focused on data-driven insights and client success.
Own the ontology and knowledge graph layer across all APAS products.
Define semantic models, graph store design, and mapping of new data sources.
Collaborate with DevOps and AI/ML engineers on deployment and model performance.
APAS builds AI products for water utilities, structuring regulatory, engineering, and operational knowledge into semantic models. The company is in an active build-out phase with close collaboration across engineering teams.
Design and optimize ETL/ELT pipelines using Matillion and Python.
Build and maintain cloud data warehouses in Snowflake with strong SQL and performance tuning.
Collaborate with stakeholders and engineering teams to deliver reliable data solutions.
The company helps organizations build scalable, reliable cloud data platforms using modern technologies like Snowflake and Matillion. It operates in a collaborative, agile environment with a focus on innovation and high-quality delivery.