Software Engineer, AI Data

Job not on LinkedIn

🔥 21 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 25%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Speechify

Speechify

51 - 200 employees

🏥 Healthcare

🏨 Hospitality

📚 Education

Healthcare • Hospitality • Education

Speechify is a company that offers a comprehensive digital connections platform. They provide tools such as URL shorteners, QR code generators, analytics, and mobile-optimized landing pages. The platform is designed to help businesses enhance their digital engagement with customers through seamless link management and trackable brand connections. Speechify caters to various industries including retail, consumer packaged goods, hospitality, media and entertainment, technology, healthcare, insurance, financial services, and education.

📋 Description

• Discover new sources of audio data and build reliable pipelines to bring them into training datasets. • Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost. • Collaborate closely with AI Scientists to improve training datasets and support next-generation models. • Own engineering projects from problem discovery through implementation and continuous improvement. • Build data pipelines that power model training and next-generation AI products.

🎯 Requirements

• A degree in Computer Science or a related field, or equivalent practical experience. • 5+ years of professional software engineering experience, with strong backend development fundamentals. • Proficiency in Python and Bash in Linux environments. • Experience building and operating production systems, ideally involving data pipelines or large-scale data processing. • Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments. • Experience with web crawlers, data acquisition, or distributed data-processing systems (nice to have). • Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform (nice to have). • Familiarity with ML training data, dataset quality, or audio processing (nice to have). • Portfolio and LinkedIn links requested when applying.

🏖️ Benefits

• A dynamic environment where your contributions shape the company and its products • A team that values innovation, intuition, and drive • Autonomy, fostering focus and creativity • The opportunity to have a significant impact in a revolutionary industry • Competitive compensation • A welcoming atmosphere • A commitment to an exceptional asynchronous work culture • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more • An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Apply Now

Similar Jobs

🕒 3 days ago

Whitecollars

11 - 50

🎯 Recruiter

👥 HR Tech

🤝 B2B

Global Recruitment Lead building distributed talent pipelines for an AI data annotation company. Scaling multilingual, expert, and contractor workforces across international programs.

🕒 4 days ago

Marrina Decisions

11 - 50

🤝 B2B

📣 Marketing

AI Engineer maintaining Sootra’s SaaS platform AI infrastructure. Optimizing production LLM/VLM services, microservices, queues, APIs, and model feedback loops.

🕒 4 days ago

Pratham International

11 - 50

📚 Education

🤝 Non-profit

🌍 Social Impact

AI Engineer building multilingual ASR systems for automated reading assessment at Pratham International. Developing speech models and pipelines serving children across India and the Global South.

🕒 5 days ago

Full Potential Solutions

1001 - 5000

💼 Consulting

🤝 B2B

🏢 Enterprise

Conversational AI Developer building chatbot solutions for Full Potential Solutions’ analytically driven omnichannel operations. Developing conversational flows, integrations, and performance improvements across AI platforms.

🕒 5 days ago

QAD

1001 - 5000

🏭 Manufacturing

📦 Logistics

🍽️ Food & Beverage

Lead AI Engagement Specialist owning AI workflow strategy, delivery, adoption and performance. Helping QAD transform manufacturing and supply chains through its intelligent platform.