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Remote Android Engineer Jobs in Lakeland, FL (NOW HIRING)

Remote Android Engineer information

See Lakeland, FL salary details

$21.4K

$128.5K

$180.4K

How much do remote android engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote android engineer in Lakeland, FL is $128,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $149,200.00 per year, depending on experience, location, and employer.

What is a remote Android engineer?

A Remote Android Engineer is a software developer who specializes in building and maintaining Android applications while working from a remote location. They are responsible for designing, coding, testing, and debugging mobile apps, often collaborating with teams through online communication tools. Their work includes improving app performance, implementing new features, and ensuring compatibility with various Android devices and versions. Remote Android Engineers typically use programming languages like Kotlin and Java, along with frameworks such as Jetpack Compose and Android SDK.

What are the key skills and qualifications needed to thrive as a remote Android engineer?

To thrive as a Remote Android Engineer, you need a solid grasp of Java or Kotlin, experience with Android SDK, and familiarity with modern app architectures, typically backed by a degree in computer science or related field. Proficiency with version control systems like Git, automated testing frameworks, and commonly used tools such as Android Studio is essential, while certifications like Google Associate Android Developer are advantageous. Excellent communication, self-motivation, and time management skills distinguish top performers in distributed remote teams. These abilities ensure you can deliver high-quality mobile applications efficiently, collaborate effectively across time zones, and continuously adapt to evolving project requirements.

What are typical challenges faced by remote Android engineers and how can they be addressed?

Remote Android Engineers often face challenges such as staying aligned with distributed teams, managing asynchronous communication, and ensuring cohesive code integration across various contributors. Overcoming these challenges involves proactive communication, regular participation in virtual meetings, and utilizing project management tools to track progress and priorities. Engineers also benefit from establishing clear documentation and adhering to shared coding standards to maintain consistency. Building strong relationships with teammates and seeking regular feedback can make remote collaboration more effective and enjoyable.

What are popular job titles related to Remote Android Engineer jobs in Lakeland, FL?

For Remote Android Engineer jobs in Lakeland, FL, the most frequently searched job titles are:

What cities near Lakeland, FL are hiring for Remote Android Engineer jobs?

Cities near Lakeland, FL with the most Remote Android Engineer job openings:

Infographic showing various Remote Android Engineer job openings in Lakeland, FL as of August 2026, with employment types broken down into 72% Full Time, 9% Part Time, and 19% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,532 per year, or $61.8 per hour.

AI ML Engineer

Conch Technologies Inc

Lakeland, FL • Remote

Contractor

Re-posted 15 days ago


Job description

W2 Role only, No visa sponsorship at this time
 
Role: AI ML Engineer
Location : Lakeland, FL, 33811
Remote Role
Job Description:
* Local-First AI Expertise: Proven track record deploying and optimizing open-source LLMs (e.g., LLaMA, Mistral) in non-cloud, restricted, or air-gapped private infrastructures
* Deep Framework Proficiency: Heavy hands-on experience with PyTorch, Hugging Face, and orchestration layers like LangChain, LlamaIndex, or equivalent frameworks
* Vector  and  Retrieval Mastery: Direct experience engineering production-grade RAG architectures, embeddings, semantic search, and local vector databases (e.g., FAISS, Qdrant, Milvus, Chroma)
* Containerization  and  Compute Infrastructure: Strong experience containerizing AI workloads via Docker/Kubernetes and managing dedicated GPU-based compute environments
* Advanced ML Concepts: Solid understanding of fine-tuning techniques (LoRA/QLoRA) versus prompt engineering, and model quantization formats (GGUF, AWQ, EXL2)
* Autonomy: Ability to build, test, and iterate rapidly in an isolated development sandbox with zero dependency on third-party cloud APIs
* Experience operating within heavily regulated or compliance-driven industries (e.g., high-governance data environments, fintech, or legal-tech)
* Familiarity with local-first agentic workflows, Model Context Protocol (MCP), or building fully internal developer copilots and autonomous knowledge systems
 
 
Thanks & Regards
Pavankumar Yalla
Sr. US IT Recruiter
Desk: 380-388-3661, EXT:819
Email: pavan.y@conchtech.com  
Web: www.conchtech.com